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A
- Abs(double) - Static method in class de.gsi.math.TMathConstants
- Abs(float) - Static method in class de.gsi.math.TMathConstants
- Abs(int) - Static method in class de.gsi.math.TMathConstants
- Abs(long) - Static method in class de.gsi.math.TMathConstants
- Abs(short) - Static method in class de.gsi.math.TMathConstants
- AbstractFunction - Class in de.gsi.math.functions
-
abstract class implementing a global function list and local function change listener interface
- AbstractFunction(String, double...) - Constructor for class de.gsi.math.functions.AbstractFunction
- AbstractFunction(String, double[], String...) - Constructor for class de.gsi.math.functions.AbstractFunction
- AbstractFunction(String, int) - Constructor for class de.gsi.math.functions.AbstractFunction
- AbstractFunction1D - Class in de.gsi.math.functions
- AbstractFunction1D(String, double[]) - Constructor for class de.gsi.math.functions.AbstractFunction1D
- AbstractFunction1D(String, double[], String[]) - Constructor for class de.gsi.math.functions.AbstractFunction1D
- AbstractFunction1D(String, int) - Constructor for class de.gsi.math.functions.AbstractFunction1D
- AbstractFunctionND - Class in de.gsi.math.functions
- AbstractFunctionND(String, double[]) - Constructor for class de.gsi.math.functions.AbstractFunctionND
- AbstractFunctionND(String, double[], String[]) - Constructor for class de.gsi.math.functions.AbstractFunctionND
- AbstractFunctionND(String, int) - Constructor for class de.gsi.math.functions.AbstractFunctionND
- AbstractMatrix - Class in de.gsi.math.matrix
- AbstractMatrix() - Constructor for class de.gsi.math.matrix.AbstractMatrix
- ACos(double) - Static method in class de.gsi.math.TMathConstants
- add(double[], double) - Static method in class de.gsi.math.ArrayMath
- add(double[], double[]) - Static method in class de.gsi.math.ArrayMath
- add(double[], double[], int) - Static method in class de.gsi.math.ArrayMath
- add(double[], int, double) - Static method in class de.gsi.math.ArrayMath
- add(ComplexPair, ComplexPair) - Method in class de.gsi.math.filter.iir.LayoutBase
- add(Complex, Complex) - Method in class de.gsi.math.filter.iir.LayoutBase
- ADD - de.gsi.math.DataSetMath.MathOp
- addConstraint(int[], double[], int, double) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
add a multiple parameter constraint boundary for the non-linear regression
- addConstraint(int[], double[], int, double) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- addConstraint(int[], int[], int, double) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
add a multiple parameter constraint boundary for the non-linear regression
- addConstraint(int[], int[], int, double) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- addConstraint(int, int, double) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
add a single parameter constraint boundary for the non-linear regression
- addConstraint(int, int, double) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- addFunction(DataSet, double) - Static method in class de.gsi.math.DataSetMath
- addFunction(DataSet, DataSet) - Static method in class de.gsi.math.DataSetMath
- addFunction(Function) - Method in class de.gsi.math.functions.AbstractFunction
-
add object to global function list
- addGaussianNoise(DataSet, double) - Static method in class de.gsi.math.DataSetMath
- addInPlace(double[], double) - Static method in class de.gsi.math.ArrayMath
- addInPlace(double[], double[]) - Static method in class de.gsi.math.ArrayMath
- addInPlace(double[], double[], int) - Static method in class de.gsi.math.ArrayMath
- addInPlace(double[], int, double) - Static method in class de.gsi.math.ArrayMath
- addListener(UpdateListener) - Method in class de.gsi.math.functions.AbstractFunction
-
add object to update listener list
- addPoleZeroConjugatePairs(Complex, Complex) - Method in class de.gsi.math.filter.iir.LayoutBase
- adjustedF - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter
- adjustedR - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter
- adjustedR2 - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter
- apodization - Variable in class de.gsi.math.spectra.Apodization.ApodizationArrayDescription
- Apodization - Enum in de.gsi.math.spectra
-
implementation of frequenty used apodization (aka.
- Apodization.ApodizationArrayDescription - Class in de.gsi.math.spectra
-
private class identifying a specific buffer array, used as a key for the array cache
- ApodizationArrayDescription(Apodization, int) - Constructor for class de.gsi.math.spectra.Apodization.ApodizationArrayDescription
- apodize(double[]) - Method in enum de.gsi.math.spectra.Apodization
-
Applies the given apodization window to the given array (in-place)
- apodize(double[], Apodization) - Static method in enum de.gsi.math.spectra.Apodization
-
Applies the given apodization window to the given array (in-place)
- apodizeComplex(double[], Apodization) - Static method in class de.gsi.math.spectra.ShortTimeFourierTransform
-
Applies the apodization function to data in "interleaved" complex array.
- apply1DFunction(Function1D) - Method in class de.gsi.math.matrix.MatrixD
-
apply user specified function to each matrix element
- applyScale(double) - Method in class de.gsi.math.filter.iir.Biquad
- applyScale(double) - Method in class de.gsi.math.filter.iir.Cascade
- ArrayConversion - Class in de.gsi.math
-
This utility class converts arrays of frequently used java primitives into other the requested primitive type.
- arrayLeftDivide(MatrixD) - Method in class de.gsi.math.matrix.MatrixD
-
Element-by-element left division, C = A.\B
- arrayLeftDivideEquals(MatrixD) - Method in class de.gsi.math.matrix.MatrixD
-
Element-by-element left division in place, A = A.\B
- ArrayMath - Class in de.gsi.math
-
some double array convenience methods
- ArrayMath.FilterType - Enum in de.gsi.math
- arrayRightDivide(MatrixD) - Method in class de.gsi.math.matrix.MatrixD
-
Element-by-element right division, C = A./B
- arrayRightDivideEquals(MatrixD) - Method in class de.gsi.math.matrix.MatrixD
-
Element-by-element right division in place, A = A./B
- arrayTimes(MatrixD) - Method in class de.gsi.math.matrix.MatrixD
-
Element-by-element multiplication, C = A.*B
- arrayTimesEquals(MatrixD) - Method in class de.gsi.math.matrix.MatrixD
-
Element-by-element multiplication in place, A = A.*B
- ArrayUtils - Class in de.gsi.math
-
Utility class containing only static functions used to manipulate arrays.
- ASin(double) - Static method in class de.gsi.math.TMathConstants
- ATan(double) - Static method in class de.gsi.math.TMathConstants
- ATan2(double, double) - Static method in class de.gsi.math.TMathConstants
- averageDataSetsFIR(List<DataSet>, int) - Static method in class de.gsi.math.DataSetMath
- averageDataSetsIIR(DataSet, DataSet, DataSet, int) - Static method in class de.gsi.math.DataSetMath
B
- background(double[], double[], int, int, TSpectrum.Direction, TSpectrum.FilterOrder, TSpectrum.SmoothWindow, boolean) - Static method in class de.gsi.math.spectra.TSpectrum
-
ONE-DIMENSIONAL BACKGROUND ESTIMATION FUNCTION - GENERAL FUNCTION This function calculates background spectrum from source spectrum.
- bandPass(int, double, double, double) - Method in class de.gsi.math.filter.iir.Bessel
-
Bandpass filter with default topology
- bandPass(int, double, double, double) - Method in class de.gsi.math.filter.iir.Butterworth
-
Band-pass filter with default topology
- bandPass(int, double, double, double, double) - Method in class de.gsi.math.filter.iir.ChebyshevI
-
Bandpass filter with default topology
- bandPass(int, double, double, double, double) - Method in class de.gsi.math.filter.iir.ChebyshevII
-
Bandpass filter with default topology
- bandPass(int, double, double, double, double, int) - Method in class de.gsi.math.filter.iir.ChebyshevI
-
Bandpass filter with custom topology
- bandPass(int, double, double, double, double, int) - Method in class de.gsi.math.filter.iir.ChebyshevII
-
Bandpass filter with custom topology
- bandPass(int, double, double, double, int) - Method in class de.gsi.math.filter.iir.Bessel
-
Bandpass filter with custom topology
- bandPass(int, double, double, double, int) - Method in class de.gsi.math.filter.iir.Butterworth
-
Band-pass filter with custom topology
- BandPassTransform - Class in de.gsi.math.filter.iir
-
Transforms from an analogue bandpass filter to a digital band-stop filter
- bandStop(int, double, double, double) - Method in class de.gsi.math.filter.iir.Bessel
-
Bandstop filter with default topology
- bandStop(int, double, double, double) - Method in class de.gsi.math.filter.iir.Butterworth
-
Band-stop filter with default topology
- bandStop(int, double, double, double, double) - Method in class de.gsi.math.filter.iir.ChebyshevI
-
Band-stop filter with default topology
- bandStop(int, double, double, double, double) - Method in class de.gsi.math.filter.iir.ChebyshevII
-
Band-stop filter with default topology
- bandStop(int, double, double, double, double, int) - Method in class de.gsi.math.filter.iir.ChebyshevI
-
Band-stop filter with custom topology
- bandStop(int, double, double, double, double, int) - Method in class de.gsi.math.filter.iir.ChebyshevII
-
Band-stop filter with custom topology
- bandStop(int, double, double, double, int) - Method in class de.gsi.math.filter.iir.Bessel
-
Bandstop filter with custom topology
- bandStop(int, double, double, double, int) - Method in class de.gsi.math.filter.iir.Butterworth
-
Band-stop filter with custom topology
- BandStopTransform - Class in de.gsi.math.filter.iir
-
Transforms from an analogue lowpass filter to a digital bandstop filter
- Bessel - Class in de.gsi.math.filter.iir
-
User facing class which contains all the methods the user uses to create Bessel filters.
- Bessel() - Constructor for class de.gsi.math.filter.iir.Bessel
- BesselI(int, double) - Static method in class de.gsi.math.TMath
- BesselI0(double) - Static method in class de.gsi.math.TMath
- BesselI1(double) - Static method in class de.gsi.math.TMath
- BesselJ0(double) - Static method in class de.gsi.math.TMath
- BesselJ1(double) - Static method in class de.gsi.math.TMath
- BesselK(int, double) - Static method in class de.gsi.math.TMath
- BesselK0(double) - Static method in class de.gsi.math.TMath
- BesselK1(double) - Static method in class de.gsi.math.TMath
- BesselY0(double) - Static method in class de.gsi.math.TMath
- BesselY1(double) - Static method in class de.gsi.math.TMath
- best - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter
- best - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- bestSd - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter
- bestSd - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- Beta(double, double) - Static method in class de.gsi.math.TMath
- BetaCf(double, double, double) - Static method in class de.gsi.math.TMath
- BetaDist(double, double, double) - Static method in class de.gsi.math.TMath
-
Computes the probability density function of the Beta distribution (the distribution function is computed in BetaDistI).
- BetaDistI(double, double, double) - Static method in class de.gsi.math.TMath
- BetaDistributionFunction - Class in de.gsi.math.functions
- BetaDistributionFunction(String) - Constructor for class de.gsi.math.functions.BetaDistributionFunction
-
initialise the Beta distribution function parameter order: parameter[0] = p (default: 5.0) parameter[1] = q (default: 1.0)
- BetaDistributionFunction(String, double[]) - Constructor for class de.gsi.math.functions.BetaDistributionFunction
-
initialise the Beta distribution function parameter order: parameter[0] = p (default: 5.0) parameter[1] = q (default: 1.0)
- BetaFunction - Class in de.gsi.math.functions
- BetaFunction(String) - Constructor for class de.gsi.math.functions.BetaFunction
-
initialise (Euler's) Beta function parameter order: parameter[0] = par (default: 1.0)
- BetaFunction(String, double[]) - Constructor for class de.gsi.math.functions.BetaFunction
-
initialise (Euler's) Beta function parameter order: parameter[0] = par (default: 1.0)
- BetaIncomplete(double, double, double) - Static method in class de.gsi.math.TMath
- BinarySearch(double[], int, double) - Static method in class de.gsi.math.TMath
-
Binary search in an array of n values to locate value.
- BinarySearch(float[], int, float) - Static method in class de.gsi.math.TMath
-
Binary search in an array of n values to locate value.
- BinarySearch(int[], int, int) - Static method in class de.gsi.math.TMath
-
Binary search in an array of n values to locate value.
- BinarySearch(long[], int, long) - Static method in class de.gsi.math.TMath
-
Binary search in an array of n values to locate value.
- BinarySearch(short[], int, short) - Static method in class de.gsi.math.TMath
-
Binary search in an array of n values to locate value.
- Binomial(int, double) - Static method in class de.gsi.math.TRandom
- Binomial(int, int) - Static method in class de.gsi.math.TMath
- BinomialI(double, int, int) - Static method in class de.gsi.math.TMath
- Biquad - Class in de.gsi.math.filter.iir
-
Contains the coefficients of a 2nd order digital filter with two poles and two zeros
- Biquad() - Constructor for class de.gsi.math.filter.iir.Biquad
- Blackman - de.gsi.math.spectra.Apodization
- BlackmanHarris - de.gsi.math.spectra.Apodization
- BlackmanNuttall - de.gsi.math.spectra.Apodization
- BreitWigner(double, double) - Static method in class de.gsi.math.TRandom
-
Return a number distributed following a BreitWigner function with mean and gamma
- BreitWigner(double, double, double) - Static method in class de.gsi.math.TMath
-
Calculate a Breit Wigner function with mean and gamma.
- BreitWignerFunction - Class in de.gsi.math.functions
- BreitWignerFunction(String) - Constructor for class de.gsi.math.functions.BreitWignerFunction
-
initialise the Breit-Wigner distribution function parameter order: parameter[0] = mean (default: 0.0) parameter[1] = gamma (default: 1.0)
- BreitWignerFunction(String, double[]) - Constructor for class de.gsi.math.functions.BreitWignerFunction
-
initialise the Breit-Wigner distribution function parameter order: parameter[0] = mean (default: 0.0) parameter[1] = gamma (default: 1.0)
- Butterworth - Class in de.gsi.math.filter.iir
-
User facing class which contains all the methods the user uses to create Butterworth filters.
- Butterworth() - Constructor for class de.gsi.math.filter.iir.Butterworth
C
- C() - Static method in class de.gsi.math.TMathConstants
- calculateEllipse(double, double, double, double, double, double) - Static method in class de.gsi.math.functions.EllipseFunction
- calculateFilterParameters(double, ArrayMath.FilterType, double, double, int) - Static method in class de.gsi.math.ArrayMath
-
calculate 2nd-order filter with Butterworth (rippleP=0) or Chebychev filter response (rippleP>0) N.B.
- Cascade - Class in de.gsi.math.filter.iir
-
The mother of all filters.
- Cascade() - Constructor for class de.gsi.math.filter.iir.Cascade
- CauchyDist(double, double, double) - Static method in class de.gsi.math.TMath
-
Computes the density of Cauchy distribution at point x The Cauchy distribution, also called Lorentzian distribution, is a continuous distribution describing resonance behavior The mean and standard deviation of the Cauchy distribution are undefined.
- CauchyLorentzFunction - Class in de.gsi.math.functions
- CauchyLorentzFunction(String) - Constructor for class de.gsi.math.functions.CauchyLorentzFunction
-
initialise the Cauchy-Lorentz distribution function parameter order: parameter[0] = location (default: 0.0) parameter[1] = scale (default: 1.0)
- CauchyLorentzFunction(String, double[]) - Constructor for class de.gsi.math.functions.CauchyLorentzFunction
-
initialise the Cauchy-Lorentz distribution function parameter order: parameter[0] = location (default: 0.0) parameter[1] = scale (default: 1.0)
- Ccgs() - Static method in class de.gsi.math.TMathConstants
- cCoeff - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter
- cCoeff - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- cconvolve(Complex[], Complex[]) - Static method in class de.gsi.math.spectra.fft.ComplexFFT_1D
- CDFWavelet - Class in de.gsi.math.spectra.wavelet
- CDFWavelet() - Constructor for class de.gsi.math.spectra.wavelet.CDFWavelet
- Ceil(double) - Static method in class de.gsi.math.TMathConstants
- CeilNint(double) - Static method in class de.gsi.math.TMathConstants
- ChebyshevI - Class in de.gsi.math.filter.iir
-
User facing class which contains all the methods the user uses to create ChebyshevI filters.
- ChebyshevI() - Constructor for class de.gsi.math.filter.iir.ChebyshevI
- ChebyshevII - Class in de.gsi.math.filter.iir
-
User facing class which contains all the methods the user uses to create ChebyshevII filters.
- ChebyshevII() - Constructor for class de.gsi.math.filter.iir.ChebyshevII
- checkForZeroWeights(double[]) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
Check entered weights for zeros.
- checkForZeroWeights(VoxelArrayND) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.Check entered weights for zeros.
- checkMatrixDimensions(Matrix) - Method in class de.gsi.math.matrix.AbstractMatrix
-
Check if size(A) == size(B)
- checkMatrixDimensions(Matrix) - Method in interface de.gsi.math.matrix.Matrix
- checkYallSmall(double, String) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
check y values for all y are very small value
- checkZeroNeg(double[], double[], double[]) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
check for zero and negative values
- checkZeroNeg(double[], double[], double[]) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- chiSquare - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter
- chiSquare - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- ChisquareQuantile(double, double) - Static method in class de.gsi.math.TMath
-
Evaluate the quantiles of the chi-squared probability distribution function.
- chol() - Method in class de.gsi.math.matrix.MatrixD
-
Cholesky Decomposition
- CholeskyDecomposition - Class in de.gsi.math.matrix
-
Cholesky Decomposition.
- CholeskyDecomposition(MatrixD) - Constructor for class de.gsi.math.matrix.CholeskyDecomposition
-
Cholesky algorithm for symmetric and positive definite matrix.
- Circle(double[], double) - Static method in class de.gsi.math.TRandom
-
generates random vectors, uniformly distributed over a circle of given radius.
- clearParameterValues() - Method in class de.gsi.math.functions.AbstractFunction
- clearParameterValues() - Method in interface de.gsi.math.functions.Function
-
resets all parameter values to zero
- clone() - Method in class de.gsi.math.matrix.MatrixD
-
Clone the Matrix object.
- CombFunction - Class in de.gsi.math.functions
- CombFunction(String, double[]) - Constructor for class de.gsi.math.functions.CombFunction
- complex(double[], double[], double[], int, int, Apodization, ShortTimeFourierTransform.Padding, boolean, boolean) - Static method in class de.gsi.math.spectra.ShortTimeFourierTransform
- complex(double[], double[], int, int, Apodization, ShortTimeFourierTransform.Padding, boolean, boolean) - Static method in class de.gsi.math.spectra.ShortTimeFourierTransform
- complex(DataSet, DataSet, int, int, Apodization, ShortTimeFourierTransform.Padding, boolean, boolean) - Static method in class de.gsi.math.spectra.ShortTimeFourierTransform
-
Perform a Short term fourier transform on complex input data.
- ComplexFFT_1D - Class in de.gsi.math.spectra.fft
-
classic FFT implementation based on the Complex data object
- ComplexFFT_1D() - Constructor for class de.gsi.math.spectra.fft.ComplexFFT_1D
- complexMultiply(double[], double[]) - Static method in class de.gsi.math.spectra.Convolution
- ComplexPair - Class in de.gsi.math.filter.iir
-
A complex pair
- ComplexPair(Complex) - Constructor for class de.gsi.math.filter.iir.ComplexPair
- ComplexPair(Complex, Complex) - Constructor for class de.gsi.math.filter.iir.ComplexPair
- computeAmplitude(double[]) - Method in class de.gsi.math.spectra.HilbertTransform
- computeCentreOfMass(DataSet) - Static method in class de.gsi.math.SimpleDataSetEstimators
-
Compute centre of mass over full DataSet
- computeCentreOfMass(DataSet, double, double) - Static method in class de.gsi.math.SimpleDataSetEstimators
-
Computes the centre of mass in a given x range.
- computeCentreOfMass(DataSet, int, int) - Static method in class de.gsi.math.SimpleDataSetEstimators
-
Computes the centre of mass in a given index range.
- computeFrequencyRange(double[]) - Method in class de.gsi.math.spectra.dtft.DiscreteTimeFourierTransform
-
Compute the optimal frequency and binning range based on the acquisition range (t_max-t_min) and the minimum non-zero sampling distance.
- computeFrequencyRange(double[]) - Static method in class de.gsi.math.spectra.lomb.LombPeriodogram
-
Compute the optimal frequency and binning range based on the acquisition range (t_max-t_min) and the minimum non-zero sampling distance.
- computeFrequencyScale(int) - Static method in class de.gsi.math.spectra.SpectrumTools
-
compute equidistant frequency axis based on the length of the magnitude spectrum
- computeFrequencyScaleFloat(int) - Static method in class de.gsi.math.spectra.SpectrumTools
-
compute equidistant frequency axis based on the length of the magnitude spectrum
- computeFWHM(double[], int, int) - Static method in class de.gsi.math.SimpleDataSetEstimators
-
compute simple Full-Width-Half-Maximum (no inter-bin interpolation)
- computeInstantaneousAmplitude(double[]) - Method in class de.gsi.math.spectra.HilbertTransform
- computeInstantaneousFrequency(double[]) - Method in class de.gsi.math.spectra.HilbertTransform
- computeIntegral(DataSet, DoubleErrorDataSet, int, double, double) - Static method in class de.gsi.math.MultiDimDataSetMath
- computeInterpolatedFWHM(double[], int, int) - Static method in class de.gsi.math.SimpleDataSetEstimators
-
compute interpolated Full-Width-Half-Maximum
- computeMagnitudeSpectrum(double[]) - Static method in class de.gsi.math.spectra.SpectrumTools
-
compute magnitude power spectra
- computeMagnitudeSpectrum(double[], boolean) - Static method in class de.gsi.math.spectra.SpectrumTools
-
compute magnitude power spectra
- computeMagnitudeSpectrum(double[], double[]) - Method in class de.gsi.math.spectra.dtft.DiscreteTimeFourierTransform
-
Discrete Time Fourier Transform computation.
- computeMagnitudeSpectrum(double[], double[], double[]) - Method in class de.gsi.math.spectra.dtft.DiscreteTimeFourierTransform
-
Discrete Time Fourier Transform
- computeMagnitudeSpectrum(double[], int, int, double[], int, boolean) - Static method in class de.gsi.math.spectra.SpectrumTools
-
compute magnitude power spectra
- computeMagnitudeSpectrum(float[]) - Static method in class de.gsi.math.spectra.SpectrumTools
-
compute magnitude power spectra
- computeMagnitudeSpectrum(float[], boolean) - Static method in class de.gsi.math.spectra.SpectrumTools
-
compute magnitude power spectra
- computeMagnitudeSpectrum(float[], int, int, float[], int, boolean) - Static method in class de.gsi.math.spectra.SpectrumTools
-
compute magnitude power spectra
- computeMagnitudeSpectrum_dB(double[], boolean) - Static method in class de.gsi.math.spectra.SpectrumTools
-
compute magnitude power spectra in decibel
- computeMagnitudeSpectrum_dB(double[], int, int, double[], int, boolean) - Static method in class de.gsi.math.spectra.SpectrumTools
-
compute magnitude power spectra in decibel
- computeMagnitudeSpectrum_dB(float[], boolean) - Static method in class de.gsi.math.spectra.SpectrumTools
-
compute magnitude power spectra in decibel
- computeMagnitudeSpectrum_dB(float[], int, int, float[], int, boolean) - Static method in class de.gsi.math.spectra.SpectrumTools
-
compute magnitude power spectra in decibel
- computeMax(DataSet, DoubleErrorDataSet, int, double, double) - Static method in class de.gsi.math.MultiDimDataSetMath
- computeMaxima(double[]) - Static method in class de.gsi.math.spectra.SpectrumTools
-
compute maxima
- computeMean(DataSet, DoubleErrorDataSet, int, double, double) - Static method in class de.gsi.math.MultiDimDataSetMath
- computeMin(DataSet, DoubleErrorDataSet, int, double, double) - Static method in class de.gsi.math.MultiDimDataSetMath
- computeMinima(double[]) - Static method in class de.gsi.math.spectra.SpectrumTools
-
compute minima
- computePeridodogram(double[], double[]) - Static method in class de.gsi.math.spectra.lomb.LombPeriodogram
-
Lomb periodogram computation.
- computePeridodogram(double[], double[], double[]) - Static method in class de.gsi.math.spectra.lomb.LombPeriodogram
-
Lomb periodogram computation
- computePhase(double[]) - Method in class de.gsi.math.spectra.HilbertTransform
- computePhase(double[], double[]) - Method in class de.gsi.math.spectra.HilbertTransform
- computePhaseSpectrum(double[]) - Static method in class de.gsi.math.spectra.SpectrumTools
-
compute phase spectra ([-PI,+PI])
- computePhaseSpectrum(float[]) - Static method in class de.gsi.math.spectra.SpectrumTools
-
compute phase spectra ([-PI,+PI])
- computeSlice(DataSet, DoubleErrorDataSet, int, double) - Static method in class de.gsi.math.MultiDimDataSetMath
- computeZeroCrossings(double[]) - Static method in class de.gsi.math.spectra.EEMD
- ConcurrencyUtils - Class in de.gsi.math.utils
-
Concurrency utilities.
- cond() - Method in class de.gsi.math.matrix.MatrixD
-
Matrix condition (2 norm)
- cond() - Method in class de.gsi.math.matrix.SingularValueDecomposition
-
Two norm condition number
- constraintMethod - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter
- constraintMethod - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- constraints - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter
- constraints - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- constraintTolerance - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter
- constraintTolerance - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- constructWithCopy(double[][]) - Static method in class de.gsi.math.matrix.MatrixFactory
-
Construct a matrix from a copy of a 2-D array.
- ContinuousWavelet - Class in de.gsi.math.spectra.wavelet
- ContinuousWavelet() - Constructor for class de.gsi.math.spectra.wavelet.ContinuousWavelet
- convertToDouble(boolean[]) - Static method in class de.gsi.math.ArrayUtils
- convertToDouble(boolean[], double) - Static method in class de.gsi.math.ArrayUtils
- convertToDouble(byte[]) - Static method in class de.gsi.math.ArrayUtils
- convertToDouble(byte[], double) - Static method in class de.gsi.math.ArrayUtils
- convertToDouble(float[]) - Static method in class de.gsi.math.ArrayUtils
- convertToDouble(float[], double) - Static method in class de.gsi.math.ArrayUtils
- convertToDouble(int[]) - Static method in class de.gsi.math.ArrayUtils
- convertToDouble(int[], double) - Static method in class de.gsi.math.ArrayUtils
- convertToDouble(long[]) - Static method in class de.gsi.math.ArrayUtils
- convertToDouble(long[], double) - Static method in class de.gsi.math.ArrayUtils
- convertToDouble(short[]) - Static method in class de.gsi.math.ArrayUtils
- convertToDouble(short[], double) - Static method in class de.gsi.math.ArrayUtils
- Convolution - Class in de.gsi.math.spectra
-
implementation of the discrete convolution algorithm via the fourier transform
- Convolution() - Constructor for class de.gsi.math.spectra.Convolution
- convolve(Complex[], Complex[]) - Static method in class de.gsi.math.spectra.fft.ComplexFFT_1D
- copy() - Method in interface de.gsi.math.matrix.Matrix
- copy() - Method in class de.gsi.math.matrix.MatrixD
-
Make a deep copy of a matrix
- copy() - Method in class de.gsi.math.storage.DoubleStorage1D
- copy() - Method in class de.gsi.math.storage.DoubleStorageND
- copy() - Method in interface de.gsi.math.storage.VoxelArrayND
- corrCoeff - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter
- corrCoeff - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- CorrelationCoefficient(double[], double[], double[]) - Static method in class de.gsi.math.TMath
-
Calculate weighted correlation coefficient x y data and weights w as double
- cos(double) - Static method in class de.gsi.math.FastMath
- cos(float) - Static method in class de.gsi.math.FastMath
- Cos(double) - Static method in class de.gsi.math.TMathConstants
- cosDeg(double) - Static method in class de.gsi.math.FastMath
- cosDeg(float) - Static method in class de.gsi.math.FastMath
- CosH(double) - Static method in class de.gsi.math.TMathConstants
- covar - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter
- covar - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- Covariance(double[], double[], double[]) - Static method in class de.gsi.math.TMath
-
calculated weighted covariance xx and yy with weights ww
- createArray(double, double, int) - Static method in class de.gsi.math.ArrayUtils
-
Creates an array of values x = i * scale + offset
- Cross(double[], double[], double[]) - Static method in class de.gsi.math.TMath
-
Calculate the Cross Product of two vectors:
- Cross(float[], float[], float[]) - Static method in class de.gsi.math.TMath
-
Calculate the Cross Product of two vectors:
- CUncertainty() - Static method in class de.gsi.math.TMathConstants
D
- DataSetMath - Class in de.gsi.math
-
Some math operation on DataSet and DataSetError
- DataSetMath.ErrType - Enum in de.gsi.math
- DataSetMath.Filter - Enum in de.gsi.math
- DataSetMath.MathOp - Enum in de.gsi.math
- dataSign(double[]) - Static method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
Deprecated.replace with optimised routines
- Daubechies1 - de.gsi.math.spectra.wavelet.WaveletCoefficients.Wavelet
- Daubechies10 - de.gsi.math.spectra.wavelet.WaveletCoefficients.Wavelet
- Daubechies11 - de.gsi.math.spectra.wavelet.WaveletCoefficients.Wavelet
- Daubechies12 - de.gsi.math.spectra.wavelet.WaveletCoefficients.Wavelet
- Daubechies13 - de.gsi.math.spectra.wavelet.WaveletCoefficients.Wavelet
- Daubechies14 - de.gsi.math.spectra.wavelet.WaveletCoefficients.Wavelet
- Daubechies15 - de.gsi.math.spectra.wavelet.WaveletCoefficients.Wavelet
- Daubechies16 - de.gsi.math.spectra.wavelet.WaveletCoefficients.Wavelet
- Daubechies17 - de.gsi.math.spectra.wavelet.WaveletCoefficients.Wavelet
- Daubechies18 - de.gsi.math.spectra.wavelet.WaveletCoefficients.Wavelet
- Daubechies19 - de.gsi.math.spectra.wavelet.WaveletCoefficients.Wavelet
- Daubechies2 - de.gsi.math.spectra.wavelet.WaveletCoefficients.Wavelet
- Daubechies20 - de.gsi.math.spectra.wavelet.WaveletCoefficients.Wavelet
- Daubechies3 - de.gsi.math.spectra.wavelet.WaveletCoefficients.Wavelet
- Daubechies4 - de.gsi.math.spectra.wavelet.WaveletCoefficients.Wavelet
- Daubechies5 - de.gsi.math.spectra.wavelet.WaveletCoefficients.Wavelet
- Daubechies6 - de.gsi.math.spectra.wavelet.WaveletCoefficients.Wavelet
- Daubechies7 - de.gsi.math.spectra.wavelet.WaveletCoefficients.Wavelet
- Daubechies8 - de.gsi.math.spectra.wavelet.WaveletCoefficients.Wavelet
- Daubechies9 - de.gsi.math.spectra.wavelet.WaveletCoefficients.Wavelet
- DaubechiesWavelet - Class in de.gsi.math.spectra.wavelet
-
Daubechies D4 wavelet transform (D4 denotes four coefficients)
- DaubechiesWavelet() - Constructor for class de.gsi.math.spectra.wavelet.DaubechiesWavelet
- daubTrans(double[]) - Method in class de.gsi.math.spectra.wavelet.DaubechiesWavelet
-
Forward Daubechies D4 transform
- daubTrans(double[]) - Method in class de.gsi.math.spectra.wavelet.WaveletTransform
-
Forward wavelet transform
- DB - de.gsi.math.DataSetMath.MathOp
- dbFunction(DataSet) - Static method in class de.gsi.math.DataSetMath
- dbFunction(DataSet, DataSet) - Static method in class de.gsi.math.DataSetMath
- de.gsi.math - package de.gsi.math
- de.gsi.math.filter.iir - package de.gsi.math.filter.iir
- de.gsi.math.fitter - package de.gsi.math.fitter
- de.gsi.math.functions - package de.gsi.math.functions
- de.gsi.math.matrix - package de.gsi.math.matrix
- de.gsi.math.spectra - package de.gsi.math.spectra
- de.gsi.math.spectra.dtft - package de.gsi.math.spectra.dtft
- de.gsi.math.spectra.fft - package de.gsi.math.spectra.fft
- de.gsi.math.spectra.lomb - package de.gsi.math.spectra.lomb
- de.gsi.math.spectra.wavelet - package de.gsi.math.spectra.wavelet
- de.gsi.math.storage - package de.gsi.math.storage
- de.gsi.math.utils - package de.gsi.math.utils
- DEBUG - Variable in class de.gsi.math.spectra.dtft.DiscreteTimeFourierTransform
- DEBUG - Variable in class de.gsi.math.spectra.wavelet.ContinuousWavelet
- decibel(double[]) - Static method in class de.gsi.math.ArrayMath
- decibel(double[], int) - Static method in class de.gsi.math.ArrayMath
- decibelInPlace(double[]) - Static method in class de.gsi.math.ArrayMath
- decibelInPlace(double[], int) - Static method in class de.gsi.math.ArrayMath
- decompose() - Method in class de.gsi.math.matrix.SingularValueDecomposition
-
Perform the singular value decomposition.
- decompose(boolean) - Method in class de.gsi.math.matrix.SingularValueDecomposition
-
Perform the singular value decomposition.
- deconvolution(double[], double[], double[], int, int, int, double) - Static method in class de.gsi.math.spectra.TSpectrum
-
ONE-DIMENSIONAL DECONVOLUTION FUNCTION This function calculates deconvolution from source spectrum according to response spectrum using Gold algorithm The result is placed in the vector pointed by destination pointer.
- deconvolutionRL(double[], double[], double[], int, int, int, double) - Static method in class de.gsi.math.spectra.TSpectrum
-
ONE-DIMENSIONAL DECONVOLUTION FUNCTION This function calculates deconvolution from source spectrum according to response spectrum using Richardson-Lucy algorithm The result is placed in the vector pointed by destination pointer.
- DECREASING - de.gsi.math.spectra.TSpectrum.Direction
- degreesOfFreedom - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter
- degreesOfFreedom - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- DegToRad() - Static method in class de.gsi.math.TMathConstants
- delta - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter
- delta - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- denom - Variable in class de.gsi.math.spectra.wavelet.DaubechiesWavelet
- denom - Variable in class de.gsi.math.spectra.wavelet.WaveletTransform
- deregisterListener() - Method in class de.gsi.math.MathDataSet
- derivativeFunction(DataSet) - Static method in class de.gsi.math.DataSetMath
- derivativeFunction(DataSet, double) - Static method in class de.gsi.math.DataSetMath
- det() - Method in class de.gsi.math.matrix.LUDecomposition
-
Determinant
- det() - Method in class de.gsi.math.matrix.MatrixD
-
Matrix determinant
- Difference(double[], double[]) - Static method in class de.gsi.math.TMath
- Difference(double[], double[], int) - Static method in class de.gsi.math.TMath
-
computes the difference between vectors
- Difference(float[], float[]) - Static method in class de.gsi.math.TMath
- Difference(float[], float[], int) - Static method in class de.gsi.math.TMath
-
computes the difference between vectors
- Difference(int[], int[]) - Static method in class de.gsi.math.TMath
- Difference(int[], int[], int) - Static method in class de.gsi.math.TMath
-
computes the difference between vectors
- Difference(long[], long[]) - Static method in class de.gsi.math.TMath
- Difference(long[], long[], int) - Static method in class de.gsi.math.TMath
-
computes the difference between vectors
- Difference(short[], short[]) - Static method in class de.gsi.math.TMath
- Difference(short[], short[], int) - Static method in class de.gsi.math.TMath
-
computes the difference between vectors
- DiLog(double) - Static method in class de.gsi.math.TMath
-
The DiLogarithm function Code translated by from CERNLIB DILOG function C332
- DIRECT_FORM_I - Static variable in class de.gsi.math.filter.iir.DirectFormAbstract
- DIRECT_FORM_II - Static variable in class de.gsi.math.filter.iir.DirectFormAbstract
- DirectFormAbstract - Class in de.gsi.math.filter.iir
-
Abstract form of the a filter which can have different state variables Direct form I or II is derived from it
- DirectFormAbstract() - Constructor for class de.gsi.math.filter.iir.DirectFormAbstract
- DirectFormI - Class in de.gsi.math.filter.iir
-
Implementation of a Direct Form I filter with its states.
- DirectFormI() - Constructor for class de.gsi.math.filter.iir.DirectFormI
- DirectFormII - Class in de.gsi.math.filter.iir
-
Implementation of a Direct Form II filter with its states.
- DirectFormII() - Constructor for class de.gsi.math.filter.iir.DirectFormII
- DiscreteTimeFourierTransform - Class in de.gsi.math.spectra.dtft
- DiscreteTimeFourierTransform() - Constructor for class de.gsi.math.spectra.dtft.DiscreteTimeFourierTransform
- divide(double[], double) - Static method in class de.gsi.math.ArrayMath
- divide(double[], double[]) - Static method in class de.gsi.math.ArrayMath
- divide(double[], double[], int) - Static method in class de.gsi.math.ArrayMath
- divide(double[], int, double) - Static method in class de.gsi.math.ArrayMath
- DIVIDE - de.gsi.math.DataSetMath.MathOp
- divideFunction(DataSet, double) - Static method in class de.gsi.math.DataSetMath
- divideFunction(DataSet, DataSet) - Static method in class de.gsi.math.DataSetMath
- divideInPlace(double[], double) - Static method in class de.gsi.math.ArrayMath
- divideInPlace(double[], double[]) - Static method in class de.gsi.math.ArrayMath
- divideInPlace(double[], double[], int) - Static method in class de.gsi.math.ArrayMath
- divideInPlace(double[], int, double) - Static method in class de.gsi.math.ArrayMath
- DoubleStorage1D - Class in de.gsi.math.storage
- DoubleStorage1D(double[]) - Constructor for class de.gsi.math.storage.DoubleStorage1D
- DoubleStorage1D(DoubleStorage1D) - Constructor for class de.gsi.math.storage.DoubleStorage1D
- DoubleStorageND - Class in de.gsi.math.storage
- DoubleStorageND(int[], int) - Constructor for class de.gsi.math.storage.DoubleStorageND
- DoubleStorageND(DoubleStorageND) - Constructor for class de.gsi.math.storage.DoubleStorageND
- dStep - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter
- dStep - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
E
- E() - Static method in class de.gsi.math.TMathConstants
- eCoeff - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter
- eCoeff - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- eemd(double[], double, double) - Method in class de.gsi.math.spectra.EEMD
- EEMD - Class in de.gsi.math.spectra
- EEMD() - Constructor for class de.gsi.math.spectra.EEMD
- effectiveSampleNumber(double[]) - Static method in class de.gsi.math.TMath
- eig() - Method in class de.gsi.math.matrix.MatrixD
-
Eigenvalue Decomposition
- EigenvalueDecomposition - Class in de.gsi.math.matrix
-
Eigenvalues and eigenvectors of a real matrix.
- EigenvalueDecomposition(MatrixD) - Constructor for class de.gsi.math.matrix.EigenvalueDecomposition
-
Check for symmetry, then construct the eigenvalue decomposition
- EllipseFunction - Class in de.gsi.math.functions
- EllipseFunction(String, int) - Constructor for class de.gsi.math.functions.EllipseFunction
- enterData(double[][], double[]) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
Enter data with x as 2D array and no weights provided
- enterData(double[][], double[][]) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
Enter data with x and y as 2D arrays and no weights provided
- enterData(double[][], double[][], double[][]) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
data entry, all 2D arrays
- enterData(double[][], double[], double[]) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
Enter data methods
- enterData(double[], double[]) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
Enter data with x as 1D array and no weights provided
- enterData(double[], double[][]) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
Enter data with x as 1D array and y as a 2D array and no weights provided
- enterData(double[], double[][], double[][]) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
Enter data
- enterData(double[], double[], double[]) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
Enter data as 1D arrays
- equals(Object) - Method in class de.gsi.math.spectra.Apodization.ApodizationArrayDescription
- Erf(double) - Static method in class de.gsi.math.TMath
-
Computation of the error function erf(x).
- Erfc(double) - Static method in class de.gsi.math.TMath
-
Compute the complementary error function erfc(x).
- ErfInverse(double) - Static method in class de.gsi.math.TMath
-
returns the inverse error function
- error(DataSet, DataSetMath.ErrType, double) - Static method in class de.gsi.math.DataSetMath
-
convenience short-hand notation for getting error variables (if defined for dataset)
- error(DataSet, DataSetMath.ErrType, int) - Static method in class de.gsi.math.DataSetMath
-
convenience short-hand notation for getting error variables (if defined for dataset)
- error(DataSet, DataSetMath.ErrType, int, double, boolean) - Static method in class de.gsi.math.DataSetMath
- errors(DataSet, DataSetMath.ErrType) - Static method in class de.gsi.math.DataSetMath
-
convenience short-hand notation for getting error variables (if defined for dataset)
- EulerGamma() - Static method in class de.gsi.math.TMathConstants
- Even(long) - Static method in class de.gsi.math.TMathConstants
- EXN - de.gsi.math.DataSetMath.ErrType
- Exp(double) - Static method in class de.gsi.math.TMathConstants
- Exp(double) - Static method in class de.gsi.math.TRandom
- EXP - de.gsi.math.DataSetMath.ErrType
- Exponential - de.gsi.math.spectra.Apodization
- extendDimension(int) - Static method in class de.gsi.math.utils.ConcurrencyUtils
- extrema(double[], double[][], double[][]) - Static method in class de.gsi.math.spectra.EEMD
-
Find all extrema in a double array.
- EYN - de.gsi.math.DataSetMath.ErrType
- EYP - de.gsi.math.DataSetMath.ErrType
F
- f1dFFT - Variable in class de.gsi.math.spectra.Convolution
- Factorial(int) - Static method in class de.gsi.math.TMath
-
Compute factorial(n).
- FastMath - Class in de.gsi.math
-
Simple quick-and-dirty math lookup table TODO: evaluate whether this should be replaced by the better implementations in: https://github.com/jeffhain/jafama (N.B.
- FastWaveletTransform - Class in de.gsi.math.spectra.wavelet
-
This is a very fast implementation of the Fast Wavelet Transform.
- fCarry - Variable in class de.gsi.math.TRandom1
- fCount24 - Variable in class de.gsi.math.TRandom1
- fdata - Variable in class de.gsi.math.storage.DoubleStorage1D
- FDist(double, double, double) - Static method in class de.gsi.math.TMath
- FDistI(double, double, double) - Static method in class de.gsi.math.TMath
- fFloatSeedTable - Variable in class de.gsi.math.TRandom1
- fft(Complex[]) - Static method in class de.gsi.math.spectra.fft.ComplexFFT_1D
- fft_orig(Complex[]) - Static method in class de.gsi.math.spectra.fft.ComplexFFT_1D
- fgMaxIndex - Static variable in class de.gsi.math.TRandom1
- fgNumEngines - Static variable in class de.gsi.math.TRandom1
- fIlag - Variable in class de.gsi.math.TRandom1
- fillArray(boolean[], boolean) - Static method in class de.gsi.math.ArrayUtils
-
fast filling of an array with a default value
initialise a smaller piece of the array and use the System.arraycopy call to fill in the rest of the array in an expanding binary fashion - fillArray(byte[], byte) - Static method in class de.gsi.math.ArrayUtils
-
fast filling of an array with a default value
initialise a smaller piece of the array and use the System.arraycopy call to fill in the rest of the array in an expanding binary fashion - fillArray(double[], double) - Static method in class de.gsi.math.ArrayUtils
-
fast filling of an array with a default value
initialize a smaller piece of the array and use the System.arraycopy call to fill in the rest of the array in an expanding binary fashion - fillArray(double[], int, int, double) - Static method in class de.gsi.math.ArrayUtils
-
fast filling of an array with a default value
initialise a smaller piece of the array and use the System.arraycopy call to fill in the rest of the array in an expanding binary fashion - fillArray(float[], float) - Static method in class de.gsi.math.ArrayUtils
-
fast filling of an array with a default value
initialise a smaller piece of the array and use the System.arraycopy call to fill in the rest of the array in an expanding binary fashion - fillArray(float[], int, int, float) - Static method in class de.gsi.math.ArrayUtils
-
fast filling of an array with a default value
initialise a smaller piece of the array and use the System.arraycopy call to fill in the rest of the array in an expanding binary fashion - fillArray(int[], int) - Static method in class de.gsi.math.ArrayUtils
-
fast filling of an array with a default value
initialise a smaller piece of the array and use the System.arraycopy call to fill in the rest of the array in an expanding binary fashion - fillArray(long[], long) - Static method in class de.gsi.math.ArrayUtils
-
fast filling of an array with a default value
initialise a smaller piece of the array and use the System.arraycopy call to fill in the rest of the array in an expanding binary fashion - fillArray(short[], short) - Static method in class de.gsi.math.ArrayUtils
-
fast filling of an array with a default value
initialise a smaller piece of the array and use the System.arraycopy call to fill in the rest of the array in an expanding binary fashion - fillArray(T[], int, int, T) - Static method in class de.gsi.math.ArrayUtils
-
fast filling of an array with a default value
initialise a smaller piece of the array and use the System.arraycopy call to fill in the rest of the array in an expanding binary fashion - fillArray(T[], T) - Static method in class de.gsi.math.ArrayUtils
-
fast filling of an array with a default value
initialize a smaller piece of the array and use the System.arraycopy call to fill in the rest of the array in an expanding binary fashion - filter(double) - Method in class de.gsi.math.filter.iir.Cascade
- filterBackgroundOrder2(double[], int, int, TSpectrum.Direction, TSpectrum.SmoothWindow) - Static method in class de.gsi.math.spectra.TSpectrum
- filterBackgroundOrder4(double[], int, int, TSpectrum.Direction, TSpectrum.SmoothWindow) - Static method in class de.gsi.math.spectra.TSpectrum
- filterBackgroundOrder6(double[], int, int, TSpectrum.Direction, TSpectrum.SmoothWindow) - Static method in class de.gsi.math.spectra.TSpectrum
- filterBackgroundOrder8(double[], int, int, TSpectrum.Direction, TSpectrum.SmoothWindow) - Static method in class de.gsi.math.spectra.TSpectrum
- filterFunction(DataSet, double, DataSetMath.Filter) - Static method in class de.gsi.math.DataSetMath
- filterPeaksHarmonics(double[][], double[], double, boolean) - Static method in class de.gsi.math.spectra.SpectrumTools
- filterPeaksSignalToNoise(double[][], double, boolean) - Static method in class de.gsi.math.spectra.SpectrumTools
- filterSignal(double[], double[], double, int, ArrayMath.FilterType, double) - Static method in class de.gsi.math.ArrayMath
-
filter from: "The Scientist and Engineer's Guide to DSP" Chapter 20
- Finite(double) - Static method in class de.gsi.math.TMathConstants
- fIntModulus - Variable in class de.gsi.math.TRandom1
- first - Variable in class de.gsi.math.filter.iir.ComplexPair
- fit(Function, double[], double[]) - Method in class de.gsi.math.fitter.LinearRegressionFitter
-
Local linear regression fitter using standard SVD-type or Tikhonov regularisation The linear gradient matrix is calculated using the provided @param func function template and for the given @param xValues vector.
- fit(Function, Function, double[], double[]) - Method in class de.gsi.math.fitter.LinearRegressionFitter
-
Local linear regression fitter using standard SVD-type or Tikhonov regularisation The linear gradient matrix is calculated using the provided @param func function template and for the given @param xValues vector.
- fitData(double[], double[], double, double, double) - Static method in class de.gsi.math.fitter.GaussFitting
-
fit precise Gaussian curve width and location based on peak indication and width estimate
- fitterMode - Variable in class de.gsi.math.functions.AbstractFunction
- fixed - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter
- fixed - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- fixParameter(int, boolean) - Method in class de.gsi.math.functions.AbstractFunction
- fixParameter(int, boolean) - Method in interface de.gsi.math.functions.Function
-
sets
- fJlag - Variable in class de.gsi.math.TRandom1
- FlatTop - de.gsi.math.spectra.Apodization
- Floor(double) - Static method in class de.gsi.math.TMathConstants
- FloorNint(double) - Static method in class de.gsi.math.TMathConstants
- fLuxury - Variable in class de.gsi.math.TRandom1
- fMantissaBit12 - Variable in class de.gsi.math.TRandom1
- fMantissaBit24 - Variable in class de.gsi.math.TRandom1
- fMin - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter
- fMin - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- fNskip - Variable in class de.gsi.math.TRandom1
- forward - de.gsi.math.spectra.wavelet.Lift.Direction
- forwardTrans(double[]) - Method in class de.gsi.math.spectra.wavelet.Lift
-
Simple wavelet Lifting Scheme forward transform
- forwardTrans(double[]) - Method in class de.gsi.math.spectra.wavelet.MyWavelet
- fparameter - Variable in class de.gsi.math.functions.AbstractFunction
- fparameterCopy - Variable in class de.gsi.math.functions.AbstractFunction
- fparameterFixed - Variable in class de.gsi.math.functions.AbstractFunction
- fparameterMax - Variable in class de.gsi.math.functions.AbstractFunction
- fparameterMin - Variable in class de.gsi.math.functions.AbstractFunction
- fparameterName - Variable in class de.gsi.math.functions.AbstractFunction
- Freq(double) - Static method in class de.gsi.math.TMath
-
Computation of the normal frequency function freq(x).
- fscale - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter
- fscale - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- fSeed - Static variable in class de.gsi.math.TRandom
- fTheSeeds - Variable in class de.gsi.math.TRandom1
- fTol - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter
- fTol - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- Function - Interface in de.gsi.math.functions
-
generic function interface
- Function1D - Interface in de.gsi.math.functions
-
generic one-dimensional function interface
- FunctionND - Interface in de.gsi.math.functions
-
generic n-dimensional function interface
- fwt53(double[], int) - Method in class de.gsi.math.spectra.wavelet.CDFWavelet
-
fwt53 - Forward biorthogonal 5/3 wavelet transform (lifting implementation) x is an input signal, which will be replaced by its output transform.
- fwt97(double[], int) - Method in class de.gsi.math.spectra.wavelet.CDFWavelet
-
Cohen-Daubechies-Feauveau forward biorthogonal 9/7 wavelet transform (lifting implementation) The first half part of the output signal contains the approximation coefficients.
G
- G() - Static method in class de.gsi.math.TMathConstants
- g0 - Variable in class de.gsi.math.spectra.wavelet.DaubechiesWavelet
- g0 - Variable in class de.gsi.math.spectra.wavelet.WaveletTransform
- g1 - Variable in class de.gsi.math.spectra.wavelet.DaubechiesWavelet
- g1 - Variable in class de.gsi.math.spectra.wavelet.WaveletTransform
- g2 - Variable in class de.gsi.math.spectra.wavelet.DaubechiesWavelet
- g2 - Variable in class de.gsi.math.spectra.wavelet.WaveletTransform
- g3 - Variable in class de.gsi.math.spectra.wavelet.DaubechiesWavelet
- g3 - Variable in class de.gsi.math.spectra.wavelet.WaveletTransform
- GamCf(double, double) - Static method in class de.gsi.math.TMath
-
Computation of the incomplete gamma function P(a,x) via its continued fraction representation.
- Gamma(double) - Static method in class de.gsi.math.TMath
-
Computation of gamma(z) for all z>0.
- Gamma(double, double) - Static method in class de.gsi.math.TMath
-
Computation of the normalized lower incomplete gamma function P(a,x) as defined in the Handbook of Mathematical Functions by Abramowitz and Stegun, formula 6.5.1 on page 260 .
- GammaDist(double, double, double, double) - Static method in class de.gsi.math.TMath
- GamSer(double, double) - Static method in class de.gsi.math.TMath
-
Computation of the incomplete gamma function P(a,x) via its series representation.
- Gaus(double, double) - Static method in class de.gsi.math.TRandom
-
samples a random number from the standard Normal (Gaussian) Distribution with the given mean and sigma.
- Gauss(double, double, double, boolean) - Static method in class de.gsi.math.TMath
-
Calculate a Gaussian function with mean and sigma.
- GaussFitting - Class in de.gsi.math.fitter
- GaussFitting() - Constructor for class de.gsi.math.fitter.GaussFitting
- GaussianFunction - Class in de.gsi.math.functions
-
class implementing the Gaussian function (/normal distribution)
- GaussianFunction(String) - Constructor for class de.gsi.math.functions.GaussianFunction
-
initialise Gaussian function (/normal distribution) y = scale/(sigma*sqrt(2.pi)) * exp( -0.5 [(x - mean)/sigma]^2 ) parameter order: parameter[0] = mean (default: 0.0) parameter[1] = sigma (default: 1.0) parameter[2] = scale (default: 1.0)
- GaussianFunction(String, double[]) - Constructor for class de.gsi.math.functions.GaussianFunction
-
initialise Gaussian function (/normal distribution) y = scale/(sigma*sqrt(2.pi)) * exp( -0.5 [(x - mean)/sigma]^2 ) parameter order: parameter[0] = mean (default: 0.0) parameter[1] = sigma (default: 1.0) parameter[2] = scale (default: 1.0)
- Gcgs() - Static method in class de.gsi.math.TMathConstants
- generalLinearStats(double[][]) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
Generalised linear regression statistics (protected method called by linear(), linearGeneral() and polynomial())
- GeometricMean(double[]) - Static method in class de.gsi.math.TMath
- GeometricMean(double[], int) - Static method in class de.gsi.math.TMath
-
geometric_mean = (\Prod_{i=0}^{n-1} \abs{a[i]})^{1/n}
- GeometricMean(float[]) - Static method in class de.gsi.math.TMath
- GeometricMean(float[], int) - Static method in class de.gsi.math.TMath
-
geometric_mean = (\Prod_{i=0}^{n-1} \abs{a[i]})^{1/n}
- GeometricMean(int[]) - Static method in class de.gsi.math.TMath
- GeometricMean(int[], int) - Static method in class de.gsi.math.TMath
-
geometric_mean = (\Prod_{i=0}^{n-1} \abs{a[i]})^{1/n}
- GeometricMean(long[]) - Static method in class de.gsi.math.TMath
- GeometricMean(long[], int) - Static method in class de.gsi.math.TMath
-
geometric_mean = (\Prod_{i=0}^{n-1} \abs{a[i]})^{1/n}
- GeometricMean(short[]) - Static method in class de.gsi.math.TMath
- GeometricMean(short[], int) - Static method in class de.gsi.math.TMath
-
geometric_mean = (\Prod_{i=0}^{n-1} \abs{a[i]})^{1/n}
- geometricMeanFilteredFunction(DataSet, double) - Static method in class de.gsi.math.DataSetMath
- GEOMMEAN - de.gsi.math.DataSetMath.Filter
- get(int) - Method in class de.gsi.math.storage.DoubleStorage1D
- get(int[]) - Method in class de.gsi.math.storage.DoubleStorage1D
- get(int[]) - Method in class de.gsi.math.storage.DoubleStorageND
- get(int[]) - Method in interface de.gsi.math.storage.VoxelArrayND
- get(int, int) - Method in interface de.gsi.math.matrix.Matrix
- get(int, int) - Method in class de.gsi.math.matrix.MatrixD
-
Get a single element.
- getA0() - Method in class de.gsi.math.filter.iir.Biquad
- getA1() - Method in class de.gsi.math.filter.iir.Biquad
- getA2() - Method in class de.gsi.math.filter.iir.Biquad
- getAdjustedR() - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
Get the Adjusted Sample Correlation Coefficient
- getAdjustedR2() - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
Get the Adjusted Sample Correlation Coefficient Squared
- getArea() - Static method in class de.gsi.math.fitter.GaussFitting
- getAreaError() - Static method in class de.gsi.math.fitter.GaussFitting
- getArray() - Method in class de.gsi.math.matrix.MatrixD
-
Access the internal two-dimensional array.
- getArray() - Method in class de.gsi.math.storage.DoubleStorage1D
- getArrayCopy() - Method in class de.gsi.math.matrix.MatrixD
-
Copy the internal two-dimensional array.
- getB0() - Method in class de.gsi.math.filter.iir.Biquad
- getB1() - Method in class de.gsi.math.filter.iir.Biquad
- getB2() - Method in class de.gsi.math.filter.iir.Biquad
- getBestEstimates() - Method in class de.gsi.math.fitter.LinearRegressionFitter
-
Get the best estimates of the unknown parameters.
- getBestEstimates() - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
Get the best estimates of the unknown parameters
- getBestEstimates() - Method in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- getBestEstimatesErrors() - Method in class de.gsi.math.fitter.LinearRegressionFitter
-
Get the estimates of the standard deviations of the best estimates of the unknown parameters.
- getBestEstimatesErrors() - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
Get the estimates of the errors of the best estimates of the unknown parameters
- getBestEstimatesErrors() - Method in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- getbestestimatesStandardDeviations() - Method in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- getBestEstimatesStandardDeviations() - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
Get the estimates of the standard deviations of the best estimates of the unknown parameters
- getBestEstimatesStandardDeviations() - Method in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- getBiquad(int) - Method in class de.gsi.math.filter.iir.Cascade
- getByteArray(byte[]) - Static method in class de.gsi.math.ArrayConversion
-
returns a type-converted copy of the input vector
- getByteArray(double[]) - Static method in class de.gsi.math.ArrayConversion
-
returns a type-converted copy of the input vector
- getByteArray(float[]) - Static method in class de.gsi.math.ArrayConversion
-
returns a type-converted copy of the input vector
- getByteArray(int[]) - Static method in class de.gsi.math.ArrayConversion
-
returns a type-converted copy of the input vector
- getByteArray(long[]) - Static method in class de.gsi.math.ArrayConversion
-
returns a type-converted copy of the input vector
- getByteArray(short[]) - Static method in class de.gsi.math.ArrayConversion
-
returns a type-converted copy of the input vector
- getChiSquare() - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
Get the chi square estimate
- getChiSquare() - Method in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- getChiSquared() - Method in class de.gsi.math.fitter.LinearRegressionFitter
- getchiSquareProb() - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
Get the chi square probablity
- getchiSquareProb() - Method in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- getCoeff() - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
Get the best estimates of the unknown parameters
- getCoeff() - Method in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- getCoeffSd() - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
Get the estimates of the errors of the best estimates of the unknown parameters
- getCoeffSd() - Method in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- getCoeffVar() - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
Get the cofficients of variations of the best estimates of the unknown parameters
- getCoeffVar() - Method in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- getColumnDimension() - Method in class de.gsi.math.matrix.AbstractMatrix
-
Get column dimension.
- getColumnDimension() - Method in interface de.gsi.math.matrix.Matrix
-
Get column dimension.
- getColumnPackedCopy() - Method in class de.gsi.math.matrix.MatrixD
-
Make a one-dimensional column packed copy of the internal array.
- getCompositeDataSetName(String, DataSet...) - Static method in class de.gsi.math.MathDataSet
- getConstant() - Static method in class de.gsi.math.fitter.GaussFitting
- getConstantError() - Static method in class de.gsi.math.fitter.GaussFitting
- getCorrCoeffMatrix() - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
Get the correlation coefficient matrix
- getCorrCoeffMatrix() - Method in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- getCovMatrix() - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
Get the covariance matrix
- getCovMatrix() - Method in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- getD() - Method in class de.gsi.math.matrix.EigenvalueDecomposition
-
Return the block diagonal eigenvalue matrix
- getDataSetEstimate(double[]) - Method in interface de.gsi.math.functions.Function1D
- getDataSetEstimate(double, double, int) - Method in interface de.gsi.math.functions.Function1D
- getDecompHP() - Method in enum de.gsi.math.spectra.wavelet.WaveletCoefficients.Wavelet
- getDecompLP() - Method in enum de.gsi.math.spectra.wavelet.WaveletCoefficients.Wavelet
- getDegFree() - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
Get the degrees of freedom
- getDegFree() - Method in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- getDelta() - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
Get the non-linear regression fractional step size used in numerical differencing
- getDelta() - Method in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- getDerivativeFilter(int) - Static method in class de.gsi.math.spectra.Convolution
-
computes derivative filter (Fourier Domain)
- getDistance(DataSet, int, int, boolean) - Static method in class de.gsi.math.SimpleDataSetEstimators
- getDouble2DArray(float[][]) - Static method in class de.gsi.math.ArrayConversion
-
returns a type-converted copy of the input matrix
- getDoubleArray(byte[]) - Static method in class de.gsi.math.ArrayConversion
-
returns a type-converted copy of the input vector
- getDoubleArray(double[]) - Static method in class de.gsi.math.ArrayConversion
-
returns a type-converted copy of the input vector
- getDoubleArray(float[]) - Static method in class de.gsi.math.ArrayConversion
-
returns a type-converted copy of the input vector
- getDoubleArray(int[]) - Static method in class de.gsi.math.ArrayConversion
-
returns a type-converted copy of the input vector
- getDoubleArray(long[]) - Static method in class de.gsi.math.ArrayConversion
-
returns a type-converted copy of the input vector
- getDoubleArray(short[]) - Static method in class de.gsi.math.ArrayConversion
-
returns a type-converted copy of the input vector
- getDoubleArray(DataSet, int, int) - Static method in class de.gsi.math.SimpleDataSetEstimators
- getDoublePivot() - Method in class de.gsi.math.matrix.LUDecomposition
-
Return pivot permutation vector as a one-dimensional double array
- getDutyCycle(DataSet, int, int) - Static method in class de.gsi.math.SimpleDataSetEstimators
- getEdgeDetect(DataSet, int, int) - Static method in class de.gsi.math.SimpleDataSetEstimators
-
Gets the time from indexMin until the signal reaches 50% of its range.
- getEigenSolution(int) - Method in class de.gsi.math.matrix.SingularValueDecomposition
- getEigenValues() - Method in class de.gsi.math.matrix.SingularValueDecomposition
- getEigenVector(int) - Method in class de.gsi.math.matrix.SingularValueDecomposition
- getEigenVectorMatrixU() - Method in class de.gsi.math.matrix.SingularValueDecomposition
- getEigenVectorMatrixV() - Method in class de.gsi.math.matrix.SingularValueDecomposition
- getFloat2DArray(double[][]) - Static method in class de.gsi.math.ArrayConversion
-
returns a type-converted copy of the input matrix
- getFloatArray(byte[]) - Static method in class de.gsi.math.ArrayConversion
-
returns a type-converted copy of the input vector
- getFloatArray(double[]) - Static method in class de.gsi.math.ArrayConversion
-
returns a type-converted copy of the input vector
- getFloatArray(float[]) - Static method in class de.gsi.math.ArrayConversion
-
returns a type-converted copy of the input vector
- getFloatArray(int[]) - Static method in class de.gsi.math.ArrayConversion
-
returns a type-converted copy of the input vector
- getFloatArray(long[]) - Static method in class de.gsi.math.ArrayConversion
-
returns a type-converted copy of the input vector
- getFloatArray(short[]) - Static method in class de.gsi.math.ArrayConversion
-
returns a type-converted copy of the input vector
- getFreeParameterCount() - Method in class de.gsi.math.functions.AbstractFunction
- getFreeParameterCount() - Method in interface de.gsi.math.functions.Function
- getFrequencyAxisComplex(double, int, double[]) - Static method in class de.gsi.math.spectra.ShortTimeFourierTransform
- getFrequencyAxisReal(double, int, double[]) - Static method in class de.gsi.math.spectra.ShortTimeFourierTransform
- getFrequencyEstimate(DataSet, int, int) - Static method in class de.gsi.math.SimpleDataSetEstimators
- getFullWidthHalfMaximum(DataSet, int, int, boolean) - Static method in class de.gsi.math.SimpleDataSetEstimators
- getFunctions() - Method in class de.gsi.math.functions.AbstractFunction
- getGrad() - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
Get the non-linear regression pre and post minimum gradients
- getGrad() - Method in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- getH() - Method in class de.gsi.math.matrix.QRDecomposition
-
Return the Householder vectors
- getHilbertFilter(int) - Static method in class de.gsi.math.spectra.Convolution
-
computes the Hilbert transform filter (Fourier Domain)
- getID() - Method in class de.gsi.math.functions.AbstractFunction
- getID() - Method in class de.gsi.math.functions.EllipseFunction
- getID() - Method in interface de.gsi.math.functions.Function
- getIdentityFilter(int) - Static method in class de.gsi.math.spectra.Convolution
-
computes the identity filter
- getImagEigenvalues() - Method in class de.gsi.math.matrix.EigenvalueDecomposition
-
Return the imaginary parts of the eigenvalues
- getIndex(int, int) - Method in enum de.gsi.math.spectra.Apodization
-
computes and returns the value of the apodization function for a given window index
- getIndex(int, int, double) - Method in enum de.gsi.math.spectra.Apodization
-
computes and returns the value of the apodization function for a given window index
- getIndexUncached(int, int) - Method in enum de.gsi.math.spectra.Apodization
-
Directly computes a single window value.
- getInputDimension() - Method in class de.gsi.math.functions.AbstractFunction1D
- getInputDimension() - Method in class de.gsi.math.functions.EllipseFunction
- getInputDimension() - Method in interface de.gsi.math.functions.Function
- getIntegerArray(byte[]) - Static method in class de.gsi.math.ArrayConversion
-
returns a type-converted copy of the input vector
- getIntegerArray(double[]) - Static method in class de.gsi.math.ArrayConversion
-
returns a type-converted copy of the input vector
- getIntegerArray(float[]) - Static method in class de.gsi.math.ArrayConversion
-
returns a type-converted copy of the input vector
- getIntegerArray(int[]) - Static method in class de.gsi.math.ArrayConversion
-
returns a type-converted copy of the input vector
- getIntegerArray(long[]) - Static method in class de.gsi.math.ArrayConversion
-
returns a type-converted copy of the input vector
- getIntegerArray(short[]) - Static method in class de.gsi.math.ArrayConversion
-
returns a type-converted copy of the input vector
- getIntegral(DataSet, int, int) - Static method in class de.gsi.math.SimpleDataSetEstimators
- getInverse() - Method in class de.gsi.math.matrix.SingularValueDecomposition
- getInverse(boolean, int) - Method in class de.gsi.math.matrix.SingularValueDecomposition
- getInverseLocalIndex(int) - Method in class de.gsi.math.storage.DoubleStorage1D
- getInverseLocalIndex(int) - Method in class de.gsi.math.storage.DoubleStorageND
- getInverseLocalIndex(int) - Method in interface de.gsi.math.storage.VoxelArrayND
- getInversionCheck() - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
Get the non-linear regression statistics Hessian matrix inversion status flag
- getInversionCheck() - Method in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- getL() - Method in class de.gsi.math.matrix.CholeskyDecomposition
-
Return triangular factor.
- getL() - Method in class de.gsi.math.matrix.LUDecomposition
-
Return lower triangular factor
- getLastFitDuration() - Method in class de.gsi.math.fitter.LinearRegressionFitter
- getLastPrepareDuration() - Method in class de.gsi.math.fitter.LinearRegressionFitter
- getLength() - Method in enum de.gsi.math.spectra.wavelet.WaveletCoefficients.Wavelet
- getLocal(int) - Method in class de.gsi.math.storage.DoubleStorage1D
- getLocal(int) - Method in class de.gsi.math.storage.DoubleStorageND
- getLocal(int) - Method in interface de.gsi.math.storage.VoxelArrayND
- getLocalIndex(int[]) - Method in class de.gsi.math.storage.DoubleStorage1D
- getLocalIndex(int[]) - Method in class de.gsi.math.storage.DoubleStorageND
- getLocalIndex(int[]) - Method in interface de.gsi.math.storage.VoxelArrayND
- getLocalStorageDim() - Method in class de.gsi.math.storage.DoubleStorage1D
- getLocalStorageDim() - Method in class de.gsi.math.storage.DoubleStorageND
- getLocalStorageDim() - Method in interface de.gsi.math.storage.VoxelArrayND
- getLocationMaximum(DataSet, int, int) - Static method in class de.gsi.math.SimpleDataSetEstimators
- getLocationMaximumGaussInterpolated(DataSet, int, int) - Static method in class de.gsi.math.SimpleDataSetEstimators
- getLongArray(byte[]) - Static method in class de.gsi.math.ArrayConversion
-
returns a type-converted copy of the input vector
- getLongArray(double[]) - Static method in class de.gsi.math.ArrayConversion
-
returns a type-converted copy of the input vector
- getLongArray(float[]) - Static method in class de.gsi.math.ArrayConversion
-
returns a type-converted copy of the input vector
- getLongArray(int[]) - Static method in class de.gsi.math.ArrayConversion
-
returns a type-converted copy of the input vector
- getLongArray(long[]) - Static method in class de.gsi.math.ArrayConversion
-
returns a type-converted copy of the input vector
- getLongArray(short[]) - Static method in class de.gsi.math.ArrayConversion
-
returns a type-converted copy of the input vector
- getLowPassFilter(int, double) - Static method in class de.gsi.math.spectra.Convolution
-
computes low-pass filter (Fourier Domain)
- getMatrix() - Method in class de.gsi.math.matrix.SingularValueDecomposition
- getMatrix(int[], int[]) - Method in class de.gsi.math.matrix.MatrixD
-
Get a sub-matrix.
- getMatrix(int[], int, int) - Method in class de.gsi.math.matrix.MatrixD
-
Get a sub-matrix.
- getMatrix(int, int, int[]) - Method in class de.gsi.math.matrix.MatrixD
-
Get a sub-matrix.
- getMatrix(int, int, int, int) - Method in class de.gsi.math.matrix.MatrixD
-
Get a sub-matrix.
- getMaximum(DataSet, int, int) - Static method in class de.gsi.math.SimpleDataSetEstimators
- getMean() - Static method in class de.gsi.math.fitter.GaussFitting
- getMean(DataSet, int, int) - Static method in class de.gsi.math.SimpleDataSetEstimators
- getMeanError() - Static method in class de.gsi.math.fitter.GaussFitting
- getMeanIntegralArray(DataSet, int, double, double, double[], boolean) - Static method in class de.gsi.math.MultiDimDataSetMath
- getMedian(DataSet, int, int) - Static method in class de.gsi.math.SimpleDataSetEstimators
- getMinimum(DataSet, int, int) - Static method in class de.gsi.math.SimpleDataSetEstimators
- getMinMaxArray(DataSet, int, double, double, double[], boolean) - Static method in class de.gsi.math.MultiDimDataSetMath
- getMinTest() - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
Get the non-linear regression convergence test option
- getMinTest() - Method in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- getMorletFilter(int, double, double) - Static method in class de.gsi.math.spectra.Convolution
- getMultipleF() - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
Get the Multiple Correlation Coefficient F ratio
- getName() - Method in class de.gsi.math.functions.AbstractFunction
- getName() - Method in interface de.gsi.math.functions.Function
- getName() - Method in enum de.gsi.math.spectra.Apodization
- getNiter() - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
Get the number of iterations in nonlinear regression
- getNiter() - Method in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- getNlrStatus() - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
Get the non-linear regression status true if convergence was achieved false if convergence not achieved before maximum number of iterations current values then returned
- getNlrStatus() - Method in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- getNmax() - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
Get the maximum number of iterations allowed in nonlinear regression
- getNmax() - Method in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- getNMcontract() - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
Get the Nelder and Mead contraction coefficient [gamma]
- getNMcontract() - Method in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- getNMextend() - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
Get the Nelder and Mead extension coefficient [beta]
- getNMextend() - Method in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- getNMreflect() - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
Get the Nelder and Mead reflection coefficient [alpha]
- getNMreflect() - Method in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- getNormalGain() - Method in class de.gsi.math.filter.iir.LayoutBase
- getNormalW() - Method in class de.gsi.math.filter.iir.LayoutBase
- getNrestarts() - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
Get the number of restarts in nonlinear regression
- getNrestarts() - Method in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- getNrestartsMax() - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
Get the maximum number of restarts allowed in nonlinear regression
- getNrestartsMax() - Method in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- getNumberOfProcessors() - Static method in class de.gsi.math.utils.ConcurrencyUtils
-
Returns the number of available processors
- getNumberOfThreads() - Static method in class de.gsi.math.utils.ConcurrencyUtils
-
Returns the current number of threads.
- getNumBiquads() - Method in class de.gsi.math.filter.iir.Cascade
- getNumPoles() - Method in class de.gsi.math.filter.iir.LayoutBase
- getOutputDimension() - Method in class de.gsi.math.functions.AbstractFunction1D
- getOutputDimension() - Method in class de.gsi.math.functions.EllipseFunction
- getOutputDimension() - Method in interface de.gsi.math.functions.Function
- getPair(int) - Method in class de.gsi.math.filter.iir.LayoutBase
- getParameter(int) - Method in class de.gsi.math.fitter.LinearRegressionFitter
-
Value of fitted parameter.
- getParameterCount() - Method in class de.gsi.math.functions.AbstractFunction
- getParameterCount() - Method in interface de.gsi.math.functions.Function
- getParameterName(int) - Method in class de.gsi.math.functions.AbstractFunction
- getParameterName(int) - Method in interface de.gsi.math.functions.Function
- getParameterRangeMaximum(int) - Method in class de.gsi.math.functions.AbstractFunction
- getParameterRangeMaximum(int) - Method in interface de.gsi.math.functions.Function
- getParameterRangeMinimum(int) - Method in class de.gsi.math.functions.AbstractFunction
- getParameterRangeMinimum(int) - Method in interface de.gsi.math.functions.Function
- getParameterValue(int) - Method in class de.gsi.math.functions.AbstractFunction
- getParameterValue(int) - Method in interface de.gsi.math.functions.Function
- getParameterValues() - Method in class de.gsi.math.functions.AbstractFunction
-
a convenience method to return all parameter values
- getParError(int) - Method in class de.gsi.math.fitter.LinearRegressionFitter
-
Error estimate of fitted parameter N.B.
- getPivot() - Method in class de.gsi.math.matrix.LUDecomposition
-
Return pivot permutation vector
- getPosVarCheck() - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
Get the non-linear regression statistics Hessian matrix inverse diagonal status flag
- getPosVarCheck() - Method in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- getPrecision() - Static method in class de.gsi.math.FastMath
- getPseudoErrors() - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
Get the pseudo-estimates of the errors of the best estimates of the unknown parameters
- getPseudoErrors() - Method in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- getPseudoInverseEigenvalues() - Method in class de.gsi.math.matrix.SingularValueDecomposition
- getPseudoSd() - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
Get the pseudo-estimates of the errors of the best estimates of the unknown parameters
- getPseudoSd() - Method in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- getPvalues() - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
Get the p-values of the best estimates
- getPvalues() - Method in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- getQ() - Method in class de.gsi.math.matrix.QRDecomposition
-
Generate and return the (economy-sized) orthogonal factor
- getR() - Method in class de.gsi.math.matrix.QRDecomposition
-
Return the upper triangular factor
- getRange(DataSet, int, int) - Static method in class de.gsi.math.SimpleDataSetEstimators
-
Returns the range of the y Data of the dataSet between the given indices.
- getRealEigenvalues() - Method in class de.gsi.math.matrix.EigenvalueDecomposition
-
Return the real parts of the eigenvalues
- getReconHP() - Method in enum de.gsi.math.spectra.wavelet.WaveletCoefficients.Wavelet
- getReconLP() - Method in enum de.gsi.math.spectra.wavelet.WaveletCoefficients.Wavelet
- getReducedChiSquare() - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
Get the reduced chi square estimate
- getReducedChiSquare() - Method in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- getRegularisationMethod() - Method in class de.gsi.math.fitter.LinearRegressionFitter
- getResiduals() - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
Get the unweighed residuals, y(experimental) - y(calculated)
- getResiduals() - Method in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- getRms(DataSet, int, int) - Static method in class de.gsi.math.SimpleDataSetEstimators
- getRMS() - Static method in class de.gsi.math.fitter.GaussFitting
- getRMSError() - Static method in class de.gsi.math.fitter.GaussFitting
- getRowDimension() - Method in class de.gsi.math.matrix.AbstractMatrix
-
Get row dimension
- getRowDimension() - Method in interface de.gsi.math.matrix.Matrix
-
Get row dimension
- getRowPackedCopy() - Method in class de.gsi.math.matrix.MatrixD
-
Make a one-dimensional row Major copy of the internal array.
- getSampleR() - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
Get the Sample Correlation Coefficient
- getSampleR2() - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
Get the Sample Correlation Coefficient Squared
- getScale() - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
- getScale() - Method in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- getScalogram(double[], int, int) - Method in class de.gsi.math.spectra.EEMD
-
EMD spectrum implementation
- getScalogram(double[], int, int, double, double, double) - Method in class de.gsi.math.spectra.wavelet.ContinuousWavelet
-
Wavelet Scalogram implementation with truncated convolution the assumption is made that the wavelet vanishes for large scales
- getScalogramArray(double[], int, int, double, double, double) - Method in class de.gsi.math.spectra.wavelet.ContinuousWavelet
- getScalogramArrayFourier(double[], int, int, double, double, double) - Method in class de.gsi.math.spectra.wavelet.ContinuousWavelet
- getScalogramFrequencyAxis(int, int, double, double, double) - Method in class de.gsi.math.spectra.wavelet.ContinuousWavelet
- getScalogramTimeAxis(double[], int, int, double, double, double) - Method in class de.gsi.math.spectra.wavelet.ContinuousWavelet
- getShortArray(byte[]) - Static method in class de.gsi.math.ArrayConversion
-
returns a type-converted copy of the input vector
- getShortArray(double[]) - Static method in class de.gsi.math.ArrayConversion
-
returns a type-converted copy of the input vector
- getShortArray(float[]) - Static method in class de.gsi.math.ArrayConversion
-
returns a type-converted copy of the input vector
- getShortArray(int[]) - Static method in class de.gsi.math.ArrayConversion
-
returns a type-converted copy of the input vector
- getShortArray(long[]) - Static method in class de.gsi.math.ArrayConversion
-
returns a type-converted copy of the input vector
- getShortArray(short[]) - Static method in class de.gsi.math.ArrayConversion
-
returns a type-converted copy of the input vector
- getSimpleRiseTime(DataSet, int, int) - Static method in class de.gsi.math.SimpleDataSetEstimators
- getSimpleRiseTime(DataSet, int, int, double, double) - Static method in class de.gsi.math.SimpleDataSetEstimators
- getSimpleRiseTime1090(DataSet, int, int) - Static method in class de.gsi.math.SimpleDataSetEstimators
- getSimpleRiseTime2080(DataSet, int, int) - Static method in class de.gsi.math.SimpleDataSetEstimators
- getSimplexSd() - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
Get the simplex sd at the minimum
- getSimplexSd() - Method in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- getSingularValues() - Method in class de.gsi.math.matrix.SingularValueDecomposition
- getSliceArray(DataSet, int, double, double[]) - Static method in class de.gsi.math.MultiDimDataSetMath
- getSourceDataSets() - Method in class de.gsi.math.MathDataSet
- getSpectrumArray(double[], int, int) - Method in class de.gsi.math.spectra.EEMD
- getStatus() - Method in class de.gsi.math.spectra.EEMD
- getStatus() - Method in class de.gsi.math.spectra.wavelet.ContinuousWavelet
- getSubRange(DataSet, double, double) - Static method in class de.gsi.math.DataSetMath
- getSumOfSquares() - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
Get the unweighed sum of squares of the residuals
- getSumOfSquares() - Method in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- getSVDCutOff() - Method in class de.gsi.math.fitter.LinearRegressionFitter
- getThreshold() - Method in class de.gsi.math.matrix.SingularValueDecomposition
- getTikhonovRegularisation() - Method in class de.gsi.math.fitter.LinearRegressionFitter
-
1/lambda_i -> lambda_i/(lambda_i^2+mu^2) for |1/lambda_i| > 1e-16
1/lambda_i -> 0 (for numerical stability) - getTimeAxis(double, int, int, double[]) - Static method in class de.gsi.math.spectra.ShortTimeFourierTransform
- getTol() - Method in class de.gsi.math.matrix.SingularValueDecomposition
- getTolerance() - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
Get the non-linear regression tolerance
- getTolerance() - Method in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- getTransmission(DataSet, int, int, boolean) - Static method in class de.gsi.math.SimpleDataSetEstimators
-
Returns transmission as the absolute or relative ratio between the signal at the indexMin'th sample and the indexMax'th sample.
- getTrueFreq() - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
Get the true frequency test, trueFreq
- getTrueFreq() - Method in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- getTvalues() - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
Get the t-values of the best estimates
- getTvalues() - Method in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- getU() - Method in class de.gsi.math.matrix.LUDecomposition
-
Return upper triangular factor
- getU() - Method in class de.gsi.math.matrix.SingularValueDecomposition
- getV() - Method in class de.gsi.math.matrix.EigenvalueDecomposition
-
Return the eigenvector matrix
- getV() - Method in class de.gsi.math.matrix.SingularValueDecomposition
- getValue() - Method in enum de.gsi.math.spectra.TSpectrum.SmoothWindow
- getValue(double) - Method in class de.gsi.math.functions.BetaDistributionFunction
- getValue(double) - Method in class de.gsi.math.functions.BetaFunction
- getValue(double) - Method in class de.gsi.math.functions.BreitWignerFunction
- getValue(double) - Method in class de.gsi.math.functions.CauchyLorentzFunction
- getValue(double) - Method in class de.gsi.math.functions.CombFunction
- getValue(double) - Method in interface de.gsi.math.functions.Function1D
- getValue(double) - Method in class de.gsi.math.functions.GaussianFunction
- getValue(double) - Method in class de.gsi.math.functions.HeavisideStepFunction
- getValue(double) - Method in class de.gsi.math.functions.LogNormalFunction
- getValue(double) - Method in class de.gsi.math.functions.PoissonFunction
- getValue(double) - Method in class de.gsi.math.functions.PolynomialFunction
- getValue(double) - Method in class de.gsi.math.functions.RandomFunction
- getValue(double) - Method in class de.gsi.math.functions.RandomWalkFunction
- getValue(double) - Method in class de.gsi.math.functions.SigmoidFunction
- getValue(double) - Method in class de.gsi.math.functions.TrigCosineFunction
- getValue(double) - Method in class de.gsi.math.functions.TrigSineFunction
- getValue(double) - Method in class de.gsi.math.functions.TruncatedGaussianFunction
- getValue(double) - Method in class de.gsi.math.Spline
-
returns the cubic-spline interpolated value at x
- getValue(double[]) - Method in class de.gsi.math.functions.AbstractFunctionND
- getValue(double[]) - Method in class de.gsi.math.functions.EllipseFunction
- getValue(double[]) - Method in interface de.gsi.math.functions.FunctionND
- getValue(double[], int) - Method in class de.gsi.math.functions.EllipseFunction
- getValue(double[], int) - Method in interface de.gsi.math.functions.FunctionND
- getValueDimension() - Method in class de.gsi.math.storage.DoubleStorage1D
- getValueDimension() - Method in class de.gsi.math.storage.DoubleStorageND
- getValueDimension() - Method in interface de.gsi.math.storage.VoxelArrayND
- getValues(double[]) - Method in interface de.gsi.math.functions.Function1D
- getWeightedResiduals() - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
Get the weighted residuals, (y(experimental) - y(calculated))/weight
- getWeightedResiduals() - Method in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- getWindow(int) - Method in enum de.gsi.math.spectra.Apodization
-
Returns the window for a
- getWindowCache() - Static method in enum de.gsi.math.spectra.Apodization
- getXdata() - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
Get the input x values
- getXdata() - Method in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.Get the input x values
- getYcalc() - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
Get the calculated y values
- getYcalc() - Method in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- getYdata() - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
Get the input y values
- getYdata() - Method in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.Get the inputed y values
- getZeroCrossing(DataSet, double) - Static method in class de.gsi.math.SimpleDataSetEstimators
- GhbarC() - Static method in class de.gsi.math.TMathConstants
- GhbarCUncertainty() - Static method in class de.gsi.math.TMathConstants
- Gn() - Static method in class de.gsi.math.TMathConstants
- GnUncertainty() - Static method in class de.gsi.math.TMathConstants
- grad - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter
- grad - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- GUncertainty() - Static method in class de.gsi.math.TMathConstants
H
- H() - Static method in class de.gsi.math.TMathConstants
- h0 - Variable in class de.gsi.math.spectra.wavelet.DaubechiesWavelet
- h0 - Variable in class de.gsi.math.spectra.wavelet.WaveletTransform
- h1 - Variable in class de.gsi.math.spectra.wavelet.DaubechiesWavelet
- h1 - Variable in class de.gsi.math.spectra.wavelet.WaveletTransform
- h2 - Variable in class de.gsi.math.spectra.wavelet.DaubechiesWavelet
- h2 - Variable in class de.gsi.math.spectra.wavelet.WaveletTransform
- h3 - Variable in class de.gsi.math.spectra.wavelet.DaubechiesWavelet
- h3 - Variable in class de.gsi.math.spectra.wavelet.WaveletTransform
- Haar0 - de.gsi.math.spectra.wavelet.WaveletCoefficients.Wavelet
- halfWidth(double[], double[]) - Static method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
returns estimate of half-height width
- halfWidth(double[], double[]) - Static method in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- Hamming - de.gsi.math.spectra.Apodization
- handle(UpdateEvent) - Method in class de.gsi.math.MathDataSet
- Hann - de.gsi.math.spectra.Apodization
- HannExp - de.gsi.math.spectra.Apodization
- hashCode() - Method in class de.gsi.math.spectra.Apodization.ApodizationArrayDescription
- Hbar() - Static method in class de.gsi.math.TMathConstants
- Hbarcgs() - Static method in class de.gsi.math.TMathConstants
- HbarUncertainty() - Static method in class de.gsi.math.TMathConstants
- HC() - Static method in class de.gsi.math.TMathConstants
- HCcgs() - Static method in class de.gsi.math.TMathConstants
- Hcgs() - Static method in class de.gsi.math.TMathConstants
- HeavisideStepFunction - Class in de.gsi.math.functions
- HeavisideStepFunction(String) - Constructor for class de.gsi.math.functions.HeavisideStepFunction
-
initialise Heaviside step function parameter order: parameter[0] = location (default: 0.0) parameter[1] = scaling (default: 1.0 (fixed))
- HeavisideStepFunction(String, double[]) - Constructor for class de.gsi.math.functions.HeavisideStepFunction
-
initialise Heaviside step function parameter order: parameter[0] = location (default: 0.0) parameter[1] = scaling (default: 1.0 (fixed))
- HIGH_PASS - de.gsi.math.ArrayMath.FilterType
- highPass(int, double, double) - Method in class de.gsi.math.filter.iir.Bessel
-
Highpass filter with default filter topology
- highPass(int, double, double) - Method in class de.gsi.math.filter.iir.Butterworth
-
High-pass filter with default filter topology
- highPass(int, double, double, double) - Method in class de.gsi.math.filter.iir.ChebyshevI
-
ChebyshevI High-pass filter with default topology
- highPass(int, double, double, double) - Method in class de.gsi.math.filter.iir.ChebyshevII
-
ChebyshevII High-pass filter with default topology
- highPass(int, double, double, double, int) - Method in class de.gsi.math.filter.iir.ChebyshevI
-
ChebyshevI Low-pass filter and custom filter topology
- highPass(int, double, double, double, int) - Method in class de.gsi.math.filter.iir.ChebyshevII
-
ChebyshevII Low-pass filter and custom filter topology
- highPass(int, double, double, int) - Method in class de.gsi.math.filter.iir.Bessel
-
Highpass filter with custom topology
- highPass(int, double, double, int) - Method in class de.gsi.math.filter.iir.Butterworth
-
High-pass filter with custom topology
- HighPassTransform - Class in de.gsi.math.filter.iir
-
Transforms from an analogue low-pass filter to a digital high-pass filter
- HilbertTransform - Class in de.gsi.math.spectra
- HilbertTransform() - Constructor for class de.gsi.math.spectra.HilbertTransform
- histogramBins(double[], double, double) - Static method in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- histogramBins(double[], double, double, double) - Static method in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- histTol - Static variable in class de.gsi.math.fitter.NonLinearRegressionFitter
- histTol - Static variable in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- HUncertainty() - Static method in class de.gsi.math.TMathConstants
- Hypot(double, double) - Method in class de.gsi.math.TMathConstants
- Hypot(long, long) - Static method in class de.gsi.math.TMathConstants
-
some integer math
I
- identity(int, int) - Static method in class de.gsi.math.matrix.MatrixFactory
-
Generate identity matrix
- ifft(Complex[]) - Static method in class de.gsi.math.spectra.fft.ComplexFFT_1D
- Ig0 - Variable in class de.gsi.math.spectra.wavelet.DaubechiesWavelet
- Ig0 - Variable in class de.gsi.math.spectra.wavelet.WaveletTransform
- Ig1 - Variable in class de.gsi.math.spectra.wavelet.DaubechiesWavelet
- Ig1 - Variable in class de.gsi.math.spectra.wavelet.WaveletTransform
- Ig2 - Variable in class de.gsi.math.spectra.wavelet.DaubechiesWavelet
- Ig2 - Variable in class de.gsi.math.spectra.wavelet.WaveletTransform
- Ig3 - Variable in class de.gsi.math.spectra.wavelet.DaubechiesWavelet
- Ig3 - Variable in class de.gsi.math.spectra.wavelet.WaveletTransform
- ignoreDofFcheck - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter
- ignoreDofFcheck - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- ignoreDofFcheck() - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
Ignore check on whether degrees of freedom are greater than zero
- ignoreDofFcheck() - Method in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- Ih0 - Variable in class de.gsi.math.spectra.wavelet.DaubechiesWavelet
- Ih0 - Variable in class de.gsi.math.spectra.wavelet.WaveletTransform
- Ih1 - Variable in class de.gsi.math.spectra.wavelet.DaubechiesWavelet
- Ih1 - Variable in class de.gsi.math.spectra.wavelet.WaveletTransform
- Ih2 - Variable in class de.gsi.math.spectra.wavelet.DaubechiesWavelet
- Ih2 - Variable in class de.gsi.math.spectra.wavelet.WaveletTransform
- Ih3 - Variable in class de.gsi.math.spectra.wavelet.DaubechiesWavelet
- Ih3 - Variable in class de.gsi.math.spectra.wavelet.WaveletTransform
- iirLowPassFilterFunction(DataSet, double) - Static method in class de.gsi.math.DataSetMath
- INCREASING - de.gsi.math.spectra.TSpectrum.Direction
- infinityCheck(double, int) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
Check for y value = infinity
- initialiseWithValue(double) - Method in class de.gsi.math.storage.DoubleStorage1D
- initialiseWithValue(double) - Method in class de.gsi.math.storage.DoubleStorageND
- initialiseWithValue(double) - Method in interface de.gsi.math.storage.VoxelArrayND
- Integer(long) - Static method in class de.gsi.math.TRandom
-
returns a random integer on [ 0, imax-1 ].
- integral(DataSet) - Static method in class de.gsi.math.DataSetMath
- integral(DataSet, double, double) - Static method in class de.gsi.math.DataSetMath
- integralSimple(DataSet) - Static method in class de.gsi.math.DataSetMath
- integrateFunction(DataSet) - Static method in class de.gsi.math.DataSetMath
- integrateFunction(DataSet, double, double) - Static method in class de.gsi.math.DataSetMath
- interpolateBaryCentre(double[], int) - Static method in class de.gsi.math.spectra.SpectrumTools
-
interpolation using a bary-centre approach
- interpolateGaussian(double[], int) - Static method in class de.gsi.math.spectra.SpectrumTools
-
interpolation using a Gaussian interpolation
- interpolateGaussian(double[], int, int) - Static method in class de.gsi.math.SimpleDataSetEstimators
-
interpolation using a Gaussian interpolation
- interpolateNAFF(double[], int) - Static method in class de.gsi.math.spectra.SpectrumTools
-
interpolation using a NAFF/SUSSIX based approach
- interpolateParabolic(double[], int) - Static method in class de.gsi.math.spectra.SpectrumTools
-
interpolation using a parabolic interpolation
- interpolateSpectrum(double[], int) - Static method in class de.gsi.math.spectra.SpectrumTools
- INV_DB - de.gsi.math.DataSetMath.MathOp
- invDaubTrans(double[]) - Method in class de.gsi.math.spectra.wavelet.DaubechiesWavelet
-
Inverse Daubechies D4 transform
- invDaubTrans(double[]) - Method in class de.gsi.math.spectra.wavelet.WaveletTransform
-
Inverse wavelet transform
- inverse - de.gsi.math.spectra.wavelet.Lift.Direction
- inverse() - Method in class de.gsi.math.matrix.MatrixD
-
Matrix inverse or pseudo-inverse
- inversedbFunction(DataSet) - Static method in class de.gsi.math.DataSetMath
- inverseDecibel(double[]) - Static method in class de.gsi.math.ArrayMath
- inverseDecibel(double[], int) - Static method in class de.gsi.math.ArrayMath
- inverseDecibelInPlace(double[]) - Static method in class de.gsi.math.ArrayMath
- inverseDecibelInPlace(double[], int) - Static method in class de.gsi.math.ArrayMath
- inverseTrans(double[]) - Method in class de.gsi.math.spectra.wavelet.Lift
-
Default two step Lifting Scheme inverse wavelet transform
- inverseTrans(double[]) - Method in class de.gsi.math.spectra.wavelet.MyWavelet
-
Default two step Lifting Scheme inverse wavelet transform
- invertFlag - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter
- invertFlag - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- invoke(double[]) - Method in class de.gsi.math.spectra.wavelet.WaveletTransform
- invokeListener() - Method in class de.gsi.math.functions.AbstractFunction
-
invoke object within update listener list
- InvPi() - Static method in class de.gsi.math.TMathConstants
- invTransform(double[]) - Static method in class de.gsi.math.spectra.wavelet.FastWaveletTransform
- invTransform(double[], int) - Method in class de.gsi.math.spectra.wavelet.DaubechiesWavelet
- invTransform(double[], int) - Static method in class de.gsi.math.spectra.wavelet.FastWaveletTransform
- invTransform(double[], int) - Method in class de.gsi.math.spectra.wavelet.WaveletTransform
- isBusy() - Method in class de.gsi.math.spectra.EEMD
- isBusy() - Method in class de.gsi.math.spectra.wavelet.ContinuousWavelet
- isConjugate() - Method in class de.gsi.math.filter.iir.ComplexPair
- isConverged() - Method in class de.gsi.math.fitter.LinearRegressionFitter
- isErrorEstimateComputed() - Method in class de.gsi.math.functions.AbstractFunction1D
- isErrorEstimateComputed() - Method in class de.gsi.math.functions.AbstractFunctionND
- isErrorWeighting() - Method in class de.gsi.math.fitter.LinearRegressionFitter
- isFitterMode() - Method in class de.gsi.math.functions.AbstractFunction
- isFitterMode() - Method in interface de.gsi.math.functions.Function
-
returns whether function is in use by fitting routine <expert function>
- isForceThreads() - Static method in class de.gsi.math.utils.ConcurrencyUtils
- isFullRank() - Method in class de.gsi.math.matrix.QRDecomposition
-
Is the matrix full rank?
- IsInside(double, double, int, double[], double[]) - Static method in class de.gsi.math.TMath
-
Function which returns true if point xp,yp lies inside the polygon defined by the np points in arrays x and y, false otherwise NOTE that the polygon must be a closed polygon (1st and last point must be identical).
- IsInside(float, float, int, float[], float[]) - Static method in class de.gsi.math.TMath
-
Function which returns true if point xp,yp lies inside the polygon defined by the np points in arrays x and y, false otherwise NOTE that the polygon must be a closed polygon (1st and last point must be identical).
- IsInside(int, int, int, int[], int[]) - Static method in class de.gsi.math.TMath
-
Function which returns true if point xp,yp lies inside the polygon defined by the np points in arrays x and y, false otherwise NOTE that the polygon must be a closed polygon (1st and last point must be identical).
- isMatchedPair() - Method in class de.gsi.math.filter.iir.ComplexPair
- isNaN() - Method in class de.gsi.math.filter.iir.ComplexPair
- isNaN() - Method in class de.gsi.math.filter.iir.PoleZeroPair
- IsNaN(double) - Static method in class de.gsi.math.TMathConstants
- isNonsingular() - Method in class de.gsi.math.matrix.LUDecomposition
-
Is the matrix nonsingular?
- isParameterFixed(int) - Method in class de.gsi.math.functions.AbstractFunction
- isParameterFixed(int) - Method in interface de.gsi.math.functions.Function
-
returns whether given parameter is fixed (static) or not
- isPowerOf2(int) - Static method in class de.gsi.math.utils.ConcurrencyUtils
-
Checks if n is a power-of-two number
- isReal() - Method in class de.gsi.math.filter.iir.ComplexPair
- isSilent() - Method in class de.gsi.math.fitter.LinearRegressionFitter
-
Fitter verbosity (local print-out) is enabled...
- isSinglePole() - Method in class de.gsi.math.filter.iir.PoleZeroPair
- isSmoothing() - Method in enum de.gsi.math.spectra.TSpectrum.SmoothWindow
- isSPD() - Method in class de.gsi.math.matrix.CholeskyDecomposition
-
Is the matrix symmetric and positive definite?
- iwt53(double[], int) - Method in class de.gsi.math.spectra.wavelet.CDFWavelet
-
iwt53 - Inverse biorthogonal 5/3 wavelet transform This is the inverse of fwt53 so that iwt53(fwt53(x,n),n)=x for every signal x of length n.
- iwt97(double[], int) - Method in class de.gsi.math.spectra.wavelet.CDFWavelet
-
iwt97 - Inverse biorthogonal 9/7 wavelet transform This is the inverse of fwt97 so that iwt97(fwt97(x,n),n)=x for every signal x of length n.
K
- K() - Static method in class de.gsi.math.TMathConstants
- Kcgs() - Static method in class de.gsi.math.TMathConstants
- KolmogorovProb(double) - Method in class de.gsi.math.TMath
-
Calculates the Kolmogorov distribution function, which gives the probability that Kolmogorov's test statistic will exceed the value z assuming the null hypothesis.
- KolmogorovTest(int, double[], int, double[], String) - Method in class de.gsi.math.TMath
- konvge - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter
- konvge - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- kRestart - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter
- kRestart - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- KUncertainty() - Static method in class de.gsi.math.TMathConstants
L
- Landau(double, double) - Static method in class de.gsi.math.TRandom
-
Generate a random number following a Landau distribution with mpv(most probable value) and sigma Converted by Rene Brun from CERNLIB routine ranlan(G110)
- Landau(double, double, double, boolean) - Static method in class de.gsi.math.TMath
-
The LANDAU function with mpv(most probable value) and sigma.
- LandauI(double) - Static method in class de.gsi.math.TMath
- LaplaceDist(double, double, double) - Static method in class de.gsi.math.TMath
- LaplaceDistI(double, double, double) - Static method in class de.gsi.math.TMath
- lastSSnoConstraint - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter
- lastSSnoConstraint - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- LayoutBase - Class in de.gsi.math.filter.iir
-
Digital/analogue filter coefficient storage space organising the storage as PoleZeroPairs so that we have as always a 2nd order filter
- LayoutBase(int) - Constructor for class de.gsi.math.filter.iir.LayoutBase
- LayoutBase(PoleZeroPair...) - Constructor for class de.gsi.math.filter.iir.LayoutBase
- Ldexp(double, int) - Static method in class de.gsi.math.TMathConstants
- length - Variable in class de.gsi.math.spectra.Apodization.ApodizationArrayDescription
- Lift - Class in de.gsi.math.spectra.wavelet
-
class liftbase: base class for simple Lifting Scheme wavelets using split, predict, update or update, predict, merge steps.
- Lift() - Constructor for class de.gsi.math.spectra.wavelet.Lift
- Lift.Direction - Enum in de.gsi.math.spectra.wavelet
- linearInterpolate(double, double, double, double, double) - Static method in class de.gsi.math.SimpleDataSetEstimators
- LinearRegressionFitter - Class in de.gsi.math.fitter
-
Simple linear regression fitter The fit is based on a local gradient matrix that is computed using the supplied function.
- LinearRegressionFitter() - Constructor for class de.gsi.math.fitter.LinearRegressionFitter
- LinearRegressionFitter.REG_METHOD - Enum in de.gsi.math.fitter
- linNonLin - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter
- linNonLin - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- Ln10() - Static method in class de.gsi.math.TMathConstants
- LnGamma(double) - Static method in class de.gsi.math.TMath
-
Computation of ln[gamma(z)] for all z>0.
- LocationMaximum(double[], int) - Static method in class de.gsi.math.TMath
- LocationMaximum(float[], int) - Static method in class de.gsi.math.TMath
- LocationMaximum(int[], int) - Static method in class de.gsi.math.TMath
- LocationMaximum(long[], int) - Static method in class de.gsi.math.TMath
- LocationMinimum(double[], int) - Static method in class de.gsi.math.TMath
- LocationMinimum(float[], int) - Static method in class de.gsi.math.TMath
- LocationMinimum(int[], int) - Static method in class de.gsi.math.TMath
- LocationMinimum(long[], int) - Static method in class de.gsi.math.TMath
- LocationMinimum(short[], int) - Static method in class de.gsi.math.TMath
- Log(double) - Static method in class de.gsi.math.TMathConstants
- Log10(double) - Static method in class de.gsi.math.TMathConstants
- LOG10 - de.gsi.math.DataSetMath.MathOp
- log10Function(DataSet) - Static method in class de.gsi.math.DataSetMath
- log10Function(DataSet, DataSet) - Static method in class de.gsi.math.DataSetMath
- Log2() - Static method in class de.gsi.math.TMathConstants
- Log2(double) - Static method in class de.gsi.math.TMathConstants
- LogE() - Static method in class de.gsi.math.TMathConstants
- LogNormal(double, double, double, double) - Static method in class de.gsi.math.TMath
-
Computes the density of LogNormal distribution at point x.
- LogNormalFunction - Class in de.gsi.math.functions
-
class implementing the lognormal function see http://en.wikipedia.org/wiki/Log-normal_distribution Howe
- LogNormalFunction(String) - Constructor for class de.gsi.math.functions.LogNormalFunction
-
LogNormal function default parameter: parameter[0] = theta = 0.0 parameter[1] = sigma = 1.0 parameter[2] = scale = 1.0
- LogNormalFunction(String, double[]) - Constructor for class de.gsi.math.functions.LogNormalFunction
-
LogNormal function parameter order: parameter[0] = theta (default: 0.0) parameter[1] = sigma (default: 1.0) parameter[2] = scale (default: 1.0)
- LombPeriodogram - Class in de.gsi.math.spectra.lomb
-
Class implements the computation of 'Lomb' periodograms.
- LOW_PASS - de.gsi.math.ArrayMath.FilterType
- lowPass(int, double, double) - Method in class de.gsi.math.filter.iir.Bessel
-
Bessel Lowpass filter with default topology
- lowPass(int, double, double) - Method in class de.gsi.math.filter.iir.Butterworth
-
Butterworth Low-pass filter with default topology
- lowPass(int, double, double, double) - Method in class de.gsi.math.filter.iir.ChebyshevI
-
ChebyshevI Low-pass filter with default topology
- lowPass(int, double, double, double) - Method in class de.gsi.math.filter.iir.ChebyshevII
-
ChebyshevII Low-pass filter with default topology
- lowPass(int, double, double, double, int) - Method in class de.gsi.math.filter.iir.ChebyshevI
-
ChebyshevI Low-pass filter with custom topology
- lowPass(int, double, double, double, int) - Method in class de.gsi.math.filter.iir.ChebyshevII
-
ChebyshevII Low-pass filter with custom topology
- lowPass(int, double, double, int) - Method in class de.gsi.math.filter.iir.Bessel
-
Bessel Lowpass filter with custom topology
- lowPass(int, double, double, int) - Method in class de.gsi.math.filter.iir.Butterworth
-
Butterworth Low-pass filter with custom topology
- lowPassFilterFunction(DataSet, double) - Static method in class de.gsi.math.DataSetMath
- LowPassTransform - Class in de.gsi.math.filter.iir
-
Transforms from an analogue lowpass filter to a digital lowpass filter
- lu() - Method in class de.gsi.math.matrix.MatrixD
-
LU Decomposition
- LUDecomposition - Class in de.gsi.math.matrix
-
LU Decomposition.
- LUDecomposition(MatrixD) - Constructor for class de.gsi.math.matrix.LUDecomposition
-
LU Decomposition
M
- m - Variable in class de.gsi.math.matrix.AbstractMatrix
- mA0 - Variable in class de.gsi.math.filter.iir.Biquad
- mA1 - Variable in class de.gsi.math.filter.iir.Biquad
- mA2 - Variable in class de.gsi.math.filter.iir.Biquad
- magnitudeSpectrum(DataSet) - Static method in class de.gsi.math.DataSetMath
- magnitudeSpectrum(DataSet, Apodization, boolean, boolean) - Static method in class de.gsi.math.DataSetMath
- magnitudeSpectrumComplex(DataSet) - Static method in class de.gsi.math.DataSetMath
- magnitudeSpectrumComplex(DataSet, Apodization, boolean, boolean) - Static method in class de.gsi.math.DataSetMath
- magnitudeSpectrumDecibel(DataSet) - Static method in class de.gsi.math.DataSetMath
- main(String[]) - Static method in class de.gsi.math.fitter.GaussFitting
- main(String[]) - Static method in class de.gsi.math.fitter.LinearRegressionFitter
- main(String[]) - Static method in class de.gsi.math.functions.PolynomialFunction
- main(String[]) - Static method in class de.gsi.math.matrix.SingularValueDecomposition
-
some small test routines to check SVD matrix computation.
- main(String[]) - Static method in class de.gsi.math.spectra.Convolution
- main(String[]) - Static method in class de.gsi.math.spectra.fft.ComplexFFT_1D
- main(String[]) - Static method in class de.gsi.math.spectra.SpectrumTools
- main(String[]) - Static method in class de.gsi.math.spectra.wavelet.CDFWavelet
- main(String[]) - Static method in class de.gsi.math.spectra.wavelet.ContinuousWavelet
- main(String[]) - Static method in class de.gsi.math.storage.DoubleStorageND
- main(String[]) - Static method in class de.gsi.math.TMath
- MathDataSet - Class in de.gsi.math
-
DataSet that automatically transforms source DataSet accordance to DataSetFunction or DataSetValueFunction definition.
- MathDataSet(String, MathDataSet.DataSetFunction, long, EventRateLimiter.UpdateStrategy, DataSet) - Constructor for class de.gsi.math.MathDataSet
- MathDataSet(String, MathDataSet.DataSetFunction, DataSet) - Constructor for class de.gsi.math.MathDataSet
- MathDataSet(String, MathDataSet.DataSetFunction, MathDataSet.DataSetsFunction, MathDataSet.DataSetValueFunction, long, EventRateLimiter.UpdateStrategy, DataSet...) - Constructor for class de.gsi.math.MathDataSet
- MathDataSet(String, MathDataSet.DataSetsFunction, long, EventRateLimiter.UpdateStrategy, DataSet...) - Constructor for class de.gsi.math.MathDataSet
- MathDataSet(String, MathDataSet.DataSetsFunction, DataSet...) - Constructor for class de.gsi.math.MathDataSet
- MathDataSet(String, MathDataSet.DataSetValueFunction, long, EventRateLimiter.UpdateStrategy, DataSet) - Constructor for class de.gsi.math.MathDataSet
- MathDataSet(String, MathDataSet.DataSetValueFunction, DataSet) - Constructor for class de.gsi.math.MathDataSet
- MathDataSet.DataSetFunction - Interface in de.gsi.math
-
simple DataSet transform function definition for single input DataSets
- MathDataSet.DataSetsFunction - Interface in de.gsi.math
-
simple DataSet transform function definition for multiple input DataSets
- MathDataSet.DataSetValueFunction - Interface in de.gsi.math
-
simple DataSet transform function definition, only the y value is being transformed, the x-axis is taken from the source DataSet
- mathFunction(DataSet, double, DataSetMath.MathOp) - Static method in class de.gsi.math.DataSetMath
- mathFunction(DataSet, DataSet, DataSetMath.MathOp) - Static method in class de.gsi.math.DataSetMath
- Matrix - Interface in de.gsi.math.matrix
- MatrixD - Class in de.gsi.math.matrix
-
Jama = Java Matrix class.
- MatrixD(double[][]) - Constructor for class de.gsi.math.matrix.MatrixD
-
Construct a matrix from a 2-D array.
- MatrixD(double[][], int, int) - Constructor for class de.gsi.math.matrix.MatrixD
-
Construct a matrix quickly without checking arguments.
- MatrixD(double[], int) - Constructor for class de.gsi.math.matrix.MatrixD
-
Construct a matrix from a one-dimensional packed array
- MatrixD(double[], int, boolean) - Constructor for class de.gsi.math.matrix.MatrixD
-
Construct a matrix from a one-dimensional packed array
- MatrixD(int, int) - Constructor for class de.gsi.math.matrix.MatrixD
-
Construct an m-by-n matrix of zeros.
- MatrixD(int, int, double) - Constructor for class de.gsi.math.matrix.MatrixD
-
Construct an m-by-n constant matrix.
- MatrixFactory - Class in de.gsi.math.matrix
- MatrixFactory() - Constructor for class de.gsi.math.matrix.MatrixFactory
- Max(double, double) - Static method in class de.gsi.math.TMathConstants
- Max(float, float) - Static method in class de.gsi.math.TMathConstants
- Max(int, int) - Static method in class de.gsi.math.TMathConstants
- Max(long, long) - Static method in class de.gsi.math.TMathConstants
- Max(short, short) - Static method in class de.gsi.math.TMathConstants
- MAX - de.gsi.math.DataSetMath.Filter
- maxConstraintIndex - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter
- maxConstraintIndex - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- maxFilteredFunction(DataSet, double) - Static method in class de.gsi.math.DataSetMath
- Maximum(double[]) - Static method in class de.gsi.math.TMath
- Maximum(double[], int) - Static method in class de.gsi.math.TMath
- Maximum(float[]) - Static method in class de.gsi.math.TMath
- Maximum(float[], int) - Static method in class de.gsi.math.TMath
- Maximum(int[]) - Static method in class de.gsi.math.TMath
- Maximum(int[], int) - Static method in class de.gsi.math.TMath
- Maximum(long[]) - Static method in class de.gsi.math.TMath
- Maximum(long[], int) - Static method in class de.gsi.math.TMath
- Maximum(short[]) - Static method in class de.gsi.math.TMath
- Maximum(short[], int) - Static method in class de.gsi.math.TMath
- mB0 - Variable in class de.gsi.math.filter.iir.Biquad
- mB1 - Variable in class de.gsi.math.filter.iir.Biquad
- mB2 - Variable in class de.gsi.math.filter.iir.Biquad
- Mean(double[]) - Static method in class de.gsi.math.TMath
- Mean(double[], int) - Static method in class de.gsi.math.TMath
- Mean(float[]) - Static method in class de.gsi.math.TMath
- Mean(float[], int) - Static method in class de.gsi.math.TMath
- Mean(int[]) - Static method in class de.gsi.math.TMath
- Mean(int[], int) - Static method in class de.gsi.math.TMath
- Mean(long[]) - Static method in class de.gsi.math.TMath
- Mean(long[], int) - Static method in class de.gsi.math.TMath
- Mean(short[]) - Static method in class de.gsi.math.TMath
- Mean(short[], int) - Static method in class de.gsi.math.TMath
- MEAN - de.gsi.math.DataSetMath.Filter
- Median(double[]) - Static method in class de.gsi.math.TMath
- Median(double[], int) - Static method in class de.gsi.math.TMath
- Median(float[]) - Static method in class de.gsi.math.TMath
- Median(float[], int) - Static method in class de.gsi.math.TMath
- Median(int[]) - Static method in class de.gsi.math.TMath
- Median(int[], int) - Static method in class de.gsi.math.TMath
- Median(long[]) - Static method in class de.gsi.math.TMath
- Median(long[], int) - Static method in class de.gsi.math.TMath
- Median(short[]) - Static method in class de.gsi.math.TMath
- Median(short[], int) - Static method in class de.gsi.math.TMath
- MEDIAN - de.gsi.math.DataSetMath.Filter
- medianFilteredFunction(DataSet, double) - Static method in class de.gsi.math.DataSetMath
- merge(double[], int) - Method in class de.gsi.math.spectra.wavelet.Lift
-
Merge the odd elements from the second half of the N element region in the array with the even elements in the first half of the N element region.
- MexicanHat(double) - Method in class de.gsi.math.spectra.wavelet.ContinuousWavelet
- Min(double, double) - Static method in class de.gsi.math.TMathConstants
- Min(float, float) - Static method in class de.gsi.math.TMathConstants
- Min(int, int) - Static method in class de.gsi.math.TMathConstants
- Min(long, long) - Static method in class de.gsi.math.TMathConstants
- Min(short, short) - Static method in class de.gsi.math.TMathConstants
- MIN - de.gsi.math.DataSetMath.Filter
- minFilteredFunction(DataSet, double) - Static method in class de.gsi.math.DataSetMath
- Minimum(double[]) - Static method in class de.gsi.math.TMath
- Minimum(double[], int) - Static method in class de.gsi.math.TMath
- Minimum(float[]) - Static method in class de.gsi.math.TMath
- Minimum(float[], int) - Static method in class de.gsi.math.TMath
- Minimum(int[]) - Static method in class de.gsi.math.TMath
- Minimum(int[], int) - Static method in class de.gsi.math.TMath
- Minimum(long[]) - Static method in class de.gsi.math.TMath
- Minimum(long[], int) - Static method in class de.gsi.math.TMath
- Minimum(short[]) - Static method in class de.gsi.math.TMath
- Minimum(short[], int) - Static method in class de.gsi.math.TMath
- minTest - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter
- minTest - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- minus(MatrixD) - Method in class de.gsi.math.matrix.MatrixD
-
C = A - B
- minusEquals(MatrixD) - Method in class de.gsi.math.matrix.MatrixD
-
A = A - B
- mirror(int, int) - Static method in class de.gsi.math.spectra.wavelet.FastWaveletTransform
- MIRROR - de.gsi.math.spectra.ShortTimeFourierTransform.Padding
- MODE_ASYMMETRIC - de.gsi.math.spectra.wavelet.WaveletCoefficients.MODE
- MODE_CONSTANT_EDGE - de.gsi.math.spectra.wavelet.WaveletCoefficients.MODE
- MODE_INVALID - de.gsi.math.spectra.wavelet.WaveletCoefficients.MODE
- MODE_MAX - de.gsi.math.spectra.wavelet.WaveletCoefficients.MODE
- MODE_PERIODIC - de.gsi.math.spectra.wavelet.WaveletCoefficients.MODE
- MODE_PERIODIZATION - de.gsi.math.spectra.wavelet.WaveletCoefficients.MODE
- MODE_SMOOTH - de.gsi.math.spectra.wavelet.WaveletCoefficients.MODE
- MODE_SYMMETRIC - de.gsi.math.spectra.wavelet.WaveletCoefficients.MODE
- MODE_ZEROPAD - de.gsi.math.spectra.wavelet.WaveletCoefficients.MODE
- modulo(double, double) - Static method in class de.gsi.math.spectra.HilbertTransform
- Morlet(double, double) - Method in class de.gsi.math.spectra.wavelet.ContinuousWavelet
-
Complex Morlet wavelet function
- Morlet(double, double, double[]) - Method in class de.gsi.math.spectra.wavelet.ContinuousWavelet
-
Complex Morlet wavelet function this version avoids the Complex object for the sake of performance
- MorletWaveletFunctionFourier(double, double, double) - Static method in class de.gsi.math.spectra.Convolution
- multCorrelCoeff(double[], double[], double[]) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
Calculate the multiple correlation coefficient
- MultiDimDataSetMath - Class in de.gsi.math
-
Some math operation on multi-dimensional DataSets (nDim larger than 2)
- multipleF - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter
- multipleY - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter
- multipleY - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- multiply(double[], double) - Static method in class de.gsi.math.ArrayMath
- multiply(double[], double[]) - Static method in class de.gsi.math.ArrayMath
- multiply(double[], double[], int) - Static method in class de.gsi.math.ArrayMath
- multiply(double[], int, double) - Static method in class de.gsi.math.ArrayMath
- MULTIPLY - de.gsi.math.DataSetMath.MathOp
- multiplyFunction(DataSet, double) - Static method in class de.gsi.math.DataSetMath
- multiplyFunction(DataSet, DataSet) - Static method in class de.gsi.math.DataSetMath
- multiplyInPlace(double[], double) - Static method in class de.gsi.math.ArrayMath
- multiplyInPlace(double[], double[]) - Static method in class de.gsi.math.ArrayMath
- multiplyInPlace(double[], double[], int) - Static method in class de.gsi.math.ArrayMath
- multiplyInPlace(double[], int, double) - Static method in class de.gsi.math.ArrayMath
- mV1 - Variable in class de.gsi.math.filter.iir.DirectFormII
- mV2 - Variable in class de.gsi.math.filter.iir.DirectFormII
- MWair() - Static method in class de.gsi.math.TMathConstants
- mX1 - Variable in class de.gsi.math.filter.iir.DirectFormI
- mX2 - Variable in class de.gsi.math.filter.iir.DirectFormI
- mY1 - Variable in class de.gsi.math.filter.iir.DirectFormI
- mY2 - Variable in class de.gsi.math.filter.iir.DirectFormI
- MyWavelet - Class in de.gsi.math.spectra.wavelet
- MyWavelet() - Constructor for class de.gsi.math.spectra.wavelet.MyWavelet
N
- n - Variable in class de.gsi.math.matrix.AbstractMatrix
- Na() - Static method in class de.gsi.math.TMathConstants
- NaUncertainty() - Static method in class de.gsi.math.TMathConstants
- nConstraints - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter
- nConstraints - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- nData - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter
- nData - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- nData0 - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter
- nelderMead(Object, double[], double[], double, int) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
Nelder and Mead Simplex Simplex Non-linear Regression
- nelderMead(Object, double[], double[], double, int) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.Nelder and Mead Simplex Simplex Non-linear Regression
- nextExp2(int) - Static method in class de.gsi.math.utils.ConcurrencyUtils
- nextPow2(int) - Static method in class de.gsi.math.utils.ConcurrencyUtils
-
Returns the closest power of two greater than or equal to x.
- NextPrime(long) - Static method in class de.gsi.math.TMathConstants
-
Return next prime number after x, unless x is a prime in which case x is returned.
- nFactorOption - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter
- nFactorOption - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- Nint(double) - Static method in class de.gsi.math.TMathConstants
- Nint(float) - Static method in class de.gsi.math.TMathConstants
- nIter - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter
- nIter - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- nlrStatus - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter
- nlrStatus - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- nMax - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter
- nMax - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- NO_SMOOTHING - de.gsi.math.spectra.TSpectrum.SmoothWindow
- NonLinearRegressionFitter - Class in de.gsi.math.fitter
-
Non-linear regression class Nelder & Mead simplex algorithm being the primary back-bone of this implementation initial implementation based on the package provided by: Michael Thomas Flanagan at www.ee.ucl.ac.uk/~mflanaga The code has been cleaned up and adapted to further support multi-dimensional fits
- NonLinearRegressionFitter(double[][], double[]) - Constructor for class de.gsi.math.fitter.NonLinearRegressionFitter
-
Constructor with data with x as 2D array and no weights provided
- NonLinearRegressionFitter(double[][], double[][]) - Constructor for class de.gsi.math.fitter.NonLinearRegressionFitter
-
Constructor with data with x and y as 2D arrays and no weights provided
- NonLinearRegressionFitter(double[][], double[][], double[][]) - Constructor for class de.gsi.math.fitter.NonLinearRegressionFitter
-
Constructor with data with x and y as 2D arrays and weights provided
- NonLinearRegressionFitter(double[][], double[], double[]) - Constructor for class de.gsi.math.fitter.NonLinearRegressionFitter
-
Constructor with data with x as 2D array and weights provided
- NonLinearRegressionFitter(double[], double[]) - Constructor for class de.gsi.math.fitter.NonLinearRegressionFitter
-
Constructor with data with x as 1D array and no weights provided
- NonLinearRegressionFitter(double[], double[][]) - Constructor for class de.gsi.math.fitter.NonLinearRegressionFitter
-
Constructor with data with x as 1D array and y as a 2D array and no weights provided
- NonLinearRegressionFitter(double[], double[][], double[][]) - Constructor for class de.gsi.math.fitter.NonLinearRegressionFitter
-
Constructor with data with x as 1D array and y as 2D array and weights provided
- NonLinearRegressionFitter(double[], double[], double[]) - Constructor for class de.gsi.math.fitter.NonLinearRegressionFitter
-
Constructor with data with x as 1D array and weights provided
- NonLinearRegressionFitter2 - Class in de.gsi.math.fitter
-
Deprecated.need to fix the n-dimensional handling - do not use (yet)
- NonLinearRegressionFitter2(double[], double[], double[]) - Constructor for class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.Constructor with data with x as 1D array and weights provided
- NonLinearRegressionFitter2(VoxelArrayND, VoxelArrayND, VoxelArrayND) - Constructor for class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.Constructor with data with x as 1D array and weights provided
- norm1() - Method in class de.gsi.math.matrix.AbstractMatrix
-
One norm
- norm2() - Method in class de.gsi.math.matrix.AbstractMatrix
-
Two norm
- norm2() - Method in class de.gsi.math.matrix.SingularValueDecomposition
-
Deprecated.used only in old implementation
- Normal2Plane(double[], double[], double[], double[]) - Static method in class de.gsi.math.TMath
-
Calculate a normal vector of a plane.
- Normal2Plane(float[], float[], float[], float[]) - Static method in class de.gsi.math.TMath
-
Calculate a normal vector of a plane.
- normalisedFunction(DataSet) - Static method in class de.gsi.math.DataSetMath
- normalisedFunction(DataSet, double) - Static method in class de.gsi.math.DataSetMath
- normalisedMagnitudeSpectrumDecibel(DataSet) - Static method in class de.gsi.math.DataSetMath
- normalize(double[], int, Lift.Direction) - Method in class de.gsi.math.spectra.wavelet.MyWavelet
- Normalize(double[]) - Static method in class de.gsi.math.TMath
-
Normalise a vector v in place.
- Normalize(float[]) - Static method in class de.gsi.math.TMath
-
Normalise a vector 'v' in place.
- NormCross(double[], double[], double[]) - Static method in class de.gsi.math.TMath
-
Calculate the Normalized Cross Product of two vectors
- NormCross(float[], float[], float[]) - Static method in class de.gsi.math.TMath
-
Calculate the Normalized Cross Product of two vectors
- normF() - Method in class de.gsi.math.matrix.AbstractMatrix
-
Frobenius norm
- normInf() - Method in class de.gsi.math.matrix.AbstractMatrix
-
Infinity norm
- NormQuantile(double) - Static method in class de.gsi.math.TMath
-
Computes quantiles for standard normal distribution N(0, 1) at probability p ALGORITHM AS241 APPL.
- notANumber(double[]) - Static method in class de.gsi.math.ArrayMath
- notANumber(double[], int) - Static method in class de.gsi.math.ArrayMath
- notANumberInPlace(double[]) - Static method in class de.gsi.math.ArrayMath
- notANumberInPlace(double[], int) - Static method in class de.gsi.math.ArrayMath
- nSumConstraints - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter
- nSumConstraints - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- nTerms - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter
- nTerms - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- Nuttall - de.gsi.math.spectra.Apodization
- nXarrays - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter
- nYarrays - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter
- nYarrays - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
O
- Odd(long) - Static method in class de.gsi.math.TMathConstants
- ORDER_2 - de.gsi.math.spectra.TSpectrum.FilterOrder
- ORDER_4 - de.gsi.math.spectra.TSpectrum.FilterOrder
- ORDER_6 - de.gsi.math.spectra.TSpectrum.FilterOrder
- ORDER_8 - de.gsi.math.spectra.TSpectrum.FilterOrder
P
- P2P - de.gsi.math.DataSetMath.Filter
- Paul(double, int) - Method in class de.gsi.math.spectra.wavelet.ContinuousWavelet
-
Complex Paul wavelet function
- PeakToPeak(double[]) - Static method in class de.gsi.math.TMath
- PeakToPeak(double[], int) - Static method in class de.gsi.math.TMath
- PeakToPeak(float[]) - Static method in class de.gsi.math.TMath
- PeakToPeak(float[], int) - Static method in class de.gsi.math.TMath
- PeakToPeak(int[]) - Static method in class de.gsi.math.TMath
- PeakToPeak(int[], int) - Static method in class de.gsi.math.TMath
- PeakToPeak(long[]) - Static method in class de.gsi.math.TMath
- PeakToPeak(long[], int) - Static method in class de.gsi.math.TMath
- PeakToPeak(short[]) - Static method in class de.gsi.math.TMath
- PeakToPeak(short[], int) - Static method in class de.gsi.math.TMath
- peakToPeakFilteredFunction(DataSet, double) - Static method in class de.gsi.math.DataSetMath
- penalties - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter
- penalties - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- penalty - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter
- penalty - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- penaltyCheck - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter
- penaltyCheck - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- penaltyParam - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter
- penaltyParam - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- penaltyWeight - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter
- penaltyWeight - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- Permute(int, int[]) - Static method in class de.gsi.math.TMath
-
Simple recursive algorithm to find the permutations of n natural numbers, not necessarily all distinct adapted from CERNLIB routine PERMU.
- Pi() - Static method in class de.gsi.math.TMathConstants
- PiOver2() - Static method in class de.gsi.math.TMathConstants
- PiOver4() - Static method in class de.gsi.math.TMathConstants
- plus(MatrixD) - Method in class de.gsi.math.matrix.MatrixD
-
C = A + B
- plusEquals(MatrixD) - Method in class de.gsi.math.matrix.MatrixD
-
A = A + B
- Poisson(double) - Static method in class de.gsi.math.TRandom
-
Generates a random integer N according to a Poisson law.
- Poisson(double, double) - Static method in class de.gsi.math.TMath
-
compute the Poisson distribution function for (x,par) The Poisson PDF is implemented by means of Euler's Gamma-function (for the factorial), so for all integer arguments it is correct.
- PoissonD(double) - Static method in class de.gsi.math.TRandom
-
Generates a random number according to a Poisson law.
- PoissonFunction - Class in de.gsi.math.functions
- PoissonFunction(String) - Constructor for class de.gsi.math.functions.PoissonFunction
-
initialise Poisson function parameter order: parameter[0] = par (default: 1.0)
- PoissonFunction(String, double[]) - Constructor for class de.gsi.math.functions.PoissonFunction
-
initialise Poisson function parameter order: parameter[0] = par (default: 1.0)
- PoissonI(double, double) - Static method in class de.gsi.math.TMath
-
compute the Poisson distribution function for (x,par) This is a non-smooth function
- poles - Variable in class de.gsi.math.filter.iir.PoleZeroPair
- PoleZeroPair - Class in de.gsi.math.filter.iir
-
It's written on the tin.
- PoleZeroPair(Complex, Complex) - Constructor for class de.gsi.math.filter.iir.PoleZeroPair
- PoleZeroPair(Complex, Complex, Complex, Complex) - Constructor for class de.gsi.math.filter.iir.PoleZeroPair
- PolynomialFunction - Class in de.gsi.math.functions
- PolynomialFunction(String, double[]) - Constructor for class de.gsi.math.functions.PolynomialFunction
- PolynomialFunction(String, double[], String[]) - Constructor for class de.gsi.math.functions.PolynomialFunction
- PolynomialFunction(String, int) - Constructor for class de.gsi.math.functions.PolynomialFunction
- posVarFlag - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter
- posVarFlag - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- Power(double, double) - Static method in class de.gsi.math.TMathConstants
- predict(double[], int, Lift.Direction) - Method in class de.gsi.math.spectra.wavelet.Lift
-
Predict step, to be defined by the subclass
- predict(double[], int, Lift.Direction) - Method in class de.gsi.math.spectra.wavelet.MyWavelet
- prevPow2(int) - Static method in class de.gsi.math.utils.ConcurrencyUtils
-
Returns the closest power of two less than or equal to x
- print() - Static method in class de.gsi.math.fitter.GaussFitting
- print(int, int) - Method in class de.gsi.math.matrix.MatrixD
-
Print the matrix to stdout.
- print(PrintWriter, int, int) - Method in class de.gsi.math.matrix.MatrixD
-
Print the matrix to the output stream.
- print(PrintWriter, NumberFormat, int) - Method in class de.gsi.math.matrix.MatrixD
-
Print the matrix to the output stream.
- print(NumberFormat, int) - Method in class de.gsi.math.matrix.MatrixD
-
Print the matrix to stdout.
- printCoefficients() - Method in class de.gsi.math.Spline
-
Debug out-put of the spline fix-points and coefficients
- printParameters() - Method in class de.gsi.math.functions.AbstractFunction
- printParameters(boolean) - Method in class de.gsi.math.functions.AbstractFunction
- Prob(double, int) - Static method in class de.gsi.math.TMath
-
Computation of the probability for a certain Chi-squared (chi2) and number of degrees of freedom (ndf).
- process1(double, Biquad) - Method in class de.gsi.math.filter.iir.DirectFormAbstract
- process1(double, Biquad) - Method in class de.gsi.math.filter.iir.DirectFormI
- process1(double, Biquad) - Method in class de.gsi.math.filter.iir.DirectFormII
- pseudoInverse(double) - Method in class de.gsi.math.matrix.MatrixD
-
Matrix inversion using the SVD pseudo inverse
- pseudoLinearStats(Object) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
apply linear statistics to a non-linear regression
- pseudoLinearStats(Object) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.apply linear statistics to a non-linear regression
- pseudoSd - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter
- pseudoSd - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- pValues - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter
- pValues - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
Q
- Qe() - Static method in class de.gsi.math.TMathConstants
- QeUncertainty() - Static method in class de.gsi.math.TMathConstants
- qr() - Method in class de.gsi.math.matrix.MatrixD
-
QR Decomposition
- QRDecomposition - Class in de.gsi.math.matrix
-
QR Decomposition.
- QRDecomposition(MatrixD) - Constructor for class de.gsi.math.matrix.QRDecomposition
-
QR Decomposition, computed by Householder reflections.
R
- R() - Static method in class de.gsi.math.TMathConstants
- RadToDeg() - Static method in class de.gsi.math.TMathConstants
- random(int, int) - Static method in class de.gsi.math.matrix.MatrixFactory
-
Generate matrix with random elements
- RandomFunction - Class in de.gsi.math.functions
- RandomFunction(String, double) - Constructor for class de.gsi.math.functions.RandomFunction
- RandomWalkFunction - Class in de.gsi.math.functions
- RandomWalkFunction(String, double) - Constructor for class de.gsi.math.functions.RandomWalkFunction
- Range(double, double, double) - Static method in class de.gsi.math.TMathConstants
- Range(int, int, int) - Static method in class de.gsi.math.TMathConstants
- Range(long, long, long) - Static method in class de.gsi.math.TMathConstants
- Range(short, short, short) - Static method in class de.gsi.math.TMathConstants
- rank() - Method in class de.gsi.math.matrix.MatrixD
-
Matrix rank
- rank() - Method in class de.gsi.math.matrix.SingularValueDecomposition
-
Effective numerical matrix rank
- Rannor(double[]) - Static method in class de.gsi.math.TRandom
-
Return 2 numbers distributed following a gaussian with mean=0 and sigma=1
- Rannor(float[]) - Static method in class de.gsi.math.TRandom
-
Return 2 numbers distributed following a gaussian with mean=0 and sigma=1
- rCoeff - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter
- rCoeff - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- read(BufferedReader) - Static method in class de.gsi.math.matrix.MatrixD
-
Read a matrix from a stream.
- real(double[], double[], int, int, Apodization, ShortTimeFourierTransform.Padding, boolean, boolean) - Static method in class de.gsi.math.spectra.ShortTimeFourierTransform
- real(DataSet, DataSet, int, int, Apodization, ShortTimeFourierTransform.Padding, boolean, boolean) - Static method in class de.gsi.math.spectra.ShortTimeFourierTransform
- Rectangular - de.gsi.math.spectra.Apodization
- reducedChiSquare - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter
- reducedChiSquare - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- registerListener() - Method in class de.gsi.math.MathDataSet
- removeConstraints() - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
remove all constraint boundaries for the non-linear regression
- removeConstraints() - Method in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- removeFunction(Function) - Method in class de.gsi.math.functions.AbstractFunction
-
remove object to global function list
- removeListener(UpdateListener) - Method in class de.gsi.math.functions.AbstractFunction
-
remove object to update listener list
- reset() - Method in class de.gsi.math.filter.iir.Cascade
- reset() - Method in class de.gsi.math.filter.iir.DirectFormAbstract
- reset() - Method in class de.gsi.math.filter.iir.DirectFormI
- reset() - Method in class de.gsi.math.filter.iir.DirectFormII
- reset() - Method in class de.gsi.math.filter.iir.LayoutBase
- residual - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter
- residual - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- residualW - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter
- residualW - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- response(double) - Method in class de.gsi.math.filter.iir.Biquad
- response(double) - Method in class de.gsi.math.filter.iir.Cascade
- Rgair() - Static method in class de.gsi.math.TMathConstants
- RMS - de.gsi.math.DataSetMath.Filter
- RMS(double[]) - Static method in class de.gsi.math.TMath
- RMS(double[], int) - Static method in class de.gsi.math.TMath
- RMS(float[]) - Static method in class de.gsi.math.TMath
- RMS(float[], int) - Static method in class de.gsi.math.TMath
- RMS(int[]) - Static method in class de.gsi.math.TMath
- RMS(int[], int) - Static method in class de.gsi.math.TMath
- RMS(long[]) - Static method in class de.gsi.math.TMath
- RMS(long[], int) - Static method in class de.gsi.math.TMath
- RMS(short[]) - Static method in class de.gsi.math.TMath
- RMS(short[], int) - Static method in class de.gsi.math.TMath
- rmsFilteredFunction(DataSet, double) - Static method in class de.gsi.math.DataSetMath
- Rndm() - Static method in class de.gsi.math.TRandom
-
Machine independent random number generator.
- Rndm(int) - Method in class de.gsi.math.TRandom1
-
return a random number in ]0,1]
- RndmArray(int, double[]) - Method in class de.gsi.math.TRandom1
-
return an array of random numbers in ]0,1]
- RndmArray(int, float[]) - Method in class de.gsi.math.TRandom
-
Return an array of n random numbers uniformly distributed in ]0,1]
- RndmArray(int, float[]) - Method in class de.gsi.math.TRandom1
-
return an array of random numbers in ]0,1]
- rootMeanSquare(double[], int) - Static method in class de.gsi.math.SimpleDataSetEstimators
- RootsCubic(double[], double[]) - Method in class de.gsi.math.TMath
- RUncertainty() - Static method in class de.gsi.math.TMathConstants
S
- sampleR - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter
- sampleR2 - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter
- scaleOpt - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter
- scaleOpt - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- search(double[], double[], double[], int, int, double, double, boolean, int, boolean, int) - Static method in class de.gsi.math.spectra.TSpectrum
-
ONE-DIMENSIONAL HIGH-RESOLUTION PEAK SEARCH FUNCTION This function searches for peaks in source spectrum It is based on deconvolution method.
- second - Variable in class de.gsi.math.filter.iir.ComplexPair
- set(int[], double[]) - Method in class de.gsi.math.storage.DoubleStorage1D
- set(int[], double[]) - Method in class de.gsi.math.storage.DoubleStorageND
- set(int[], double[]) - Method in interface de.gsi.math.storage.VoxelArrayND
- set(int, double) - Method in class de.gsi.math.storage.DoubleStorage1D
- set(int, int, double) - Method in interface de.gsi.math.matrix.Matrix
- set(int, int, double) - Method in class de.gsi.math.matrix.MatrixD
-
Set a single element.
- setArray(double[]) - Method in class de.gsi.math.storage.DoubleStorage1D
- setCoefficients(double, double, double, double, double, double) - Method in class de.gsi.math.filter.iir.Biquad
- setConstraintTolerance(double) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
Reset the tolerance used in a fixed value constraint
- setConstraintTolerance(double) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- setData(double[], double[], double[]) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- setData(VoxelArrayND, VoxelArrayND, VoxelArrayND) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- setDefaultValues(double[][], double[], double[]) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
Set data and default values
- setDelta(double) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
Set the non-linear regression fractional step size used in numerical differencing
- setDelta(double) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- setErrorEstimateComputation(boolean) - Method in class de.gsi.math.functions.AbstractFunction1D
-
sets whether error estimates is included into exports/estimates etc.
- setErrorEstimateComputation(boolean) - Method in class de.gsi.math.functions.AbstractFunctionND
-
sets whether error estimates is included into exports/estimates etc.
- setErrorWeighting(boolean) - Method in class de.gsi.math.fitter.LinearRegressionFitter
- setFitterMode(boolean) - Method in class de.gsi.math.functions.AbstractFunction
- setFitterMode(boolean) - Method in interface de.gsi.math.functions.Function
-
sets whether function is in use by fitting routine <expert function>
- setForceThreads(boolean) - Static method in class de.gsi.math.utils.ConcurrencyUtils
- setFunction(EditableDataSet, double, double, double) - Static method in class de.gsi.math.DataSetMath
- setIdentity() - Method in class de.gsi.math.filter.iir.Biquad
- setLayout(LayoutBase, int) - Method in class de.gsi.math.filter.iir.Cascade
- setLocal(int, double[]) - Method in class de.gsi.math.storage.DoubleStorage1D
- setLocal(int, double[]) - Method in class de.gsi.math.storage.DoubleStorageND
- setLocal(int, double[]) - Method in interface de.gsi.math.storage.VoxelArrayND
- setMatrix(int[], int[], MatrixD) - Method in class de.gsi.math.matrix.MatrixD
-
Set a submatrix.
- setMatrix(int[], int, int, MatrixD) - Method in class de.gsi.math.matrix.MatrixD
-
Set a submatrix.
- setMatrix(int, int, int[], MatrixD) - Method in class de.gsi.math.matrix.MatrixD
-
Set a submatrix.
- setMatrix(int, int, int, int, MatrixD) - Method in class de.gsi.math.matrix.MatrixD
-
Set a submatrix.
- setMatrix(MatrixD) - Method in class de.gsi.math.matrix.SingularValueDecomposition
-
Sets the input matrix to be decomposed.
- setMinTest(int) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
Reset the non-linear regression convergence test option
- setMinTest(int) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- setNmax(int) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
Set the maximum number of iterations allowed in nonlinear regression
- setNmax(int) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- setNMcontract(double) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
Reset the Nelder and Mead contraction coefficient [gamma]
- setNMcontract(double) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- setNMextend(double) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
Reset the Nelder and Mead extension coefficient [beta]
- setNMextend(double) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- setNMreflect(double) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
Reset the Nelder and Mead reflection coefficient [alpha]
- setNMreflect(double) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- setNormal(double, double) - Method in class de.gsi.math.filter.iir.LayoutBase
- setNrestartsMax(int) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
- setNrestartsMax(int) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- setNumberOfThreads(int) - Static method in class de.gsi.math.utils.ConcurrencyUtils
-
Sets the number of threads
- setOnePole(Complex, Complex) - Method in class de.gsi.math.filter.iir.Biquad
- setParameterCount(int) - Method in class de.gsi.math.functions.AbstractFunction
- setParameterCount(int) - Method in interface de.gsi.math.functions.Function
- setParameterCount(int) - Method in class de.gsi.math.functions.PolynomialFunction
- setParameterName(int, String) - Method in class de.gsi.math.functions.AbstractFunction
- setParameterName(int, String) - Method in interface de.gsi.math.functions.Function
-
sets the name of a by 'id' given parameter
- setParameterRange(int, double, double) - Method in class de.gsi.math.functions.AbstractFunction
- setParameterRange(int, double, double) - Method in interface de.gsi.math.functions.Function
-
sets the range of a by 'id' given parameter N.B.
- setParameterValue(int, double) - Method in class de.gsi.math.functions.AbstractFunction
- setParameterValue(int, double) - Method in interface de.gsi.math.functions.Function
-
sets the value of a by 'id' given parameter
- setParameterValues(double[]) - Method in class de.gsi.math.functions.AbstractFunction
- setParameterValues(double[]) - Method in interface de.gsi.math.functions.Function
-
sets the parameter values using an array the array is required to have at most getParameterCount() indices
- setPoleZeroPair(PoleZeroPair) - Method in class de.gsi.math.filter.iir.Biquad
- setPrecision(int) - Static method in class de.gsi.math.FastMath
- setRegularisationMethod(LinearRegressionFitter.REG_METHOD) - Method in class de.gsi.math.fitter.LinearRegressionFitter
-
KStandard: standard SVD-type cut
1/lambda_i -> 1/lambda_i
for (|lambda_i/lambda_0| > getSVDCutOff & |1/lambda_i| > 1e-16 1/lambda_i -> 0
otherwise (numerical stability) Tikhonov type regularisation:
1/lambda_i -> lambda_i/(lambda_i^2+mu^2) for |1/lambda_i| > 1e-16 1/lambda_i - setScale(double[]) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
Reset scaling factors (scaleOpt 2, see above for scaleOpt 0 and 1)
- setScale(double[]) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- setScale(int) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
Reset scaling factors (scaleOpt 0 and 1, see below for scaleOpt 2)
- setScale(int) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- SetSeed(long) - Method in class de.gsi.math.TRandom
-
Set the random generator seed if seed is zero, the seed is set to the current machine clock Note that the machine clock is returned with a precision of 1 second.
- SetSeed(long) - Method in class de.gsi.math.TRandom1
-
Set RanLux seed using default luxury level
- SetSeed2(long, int) - Method in class de.gsi.math.TRandom1
-
The initialisation is carried out using a Multiplicative Congruential generator using formula constants of L'Ecuyer as described in "A review of pseudorandom number generators" (Fred James) published in Computer Physics Communications 60 (1990) pages 329-344
- SetSeeds(long, int) - Method in class de.gsi.math.TRandom1
-
set seeds
- setSVDCutOff(double) - Method in class de.gsi.math.fitter.LinearRegressionFitter
-
SVD cut off threshold for ill-conditioned systems, default: 1e-16
- setThreshold(double) - Method in class de.gsi.math.matrix.SingularValueDecomposition
- setTikhonovRegularisation(double) - Method in class de.gsi.math.fitter.LinearRegressionFitter
-
Tikhonov regularisation parameter mu, default:
1.0 1/lambda_i -> lambda_i/(lambda_i^2+mu^2) for |1/lambda_i| > 1e-16 1/lambda_i -> 0 (for numerical stability) - setTol(double) - Method in class de.gsi.math.matrix.SingularValueDecomposition
- setTolerance(double) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
Set the non-linear regression tolerance
- setTolerance(double) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- setTrueFreq(boolean) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
Reset the true frequency test, trueFreq true if yData values are true frequencies, e.g.
- setTrueFreq(boolean) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- setTrueFreqWeights(double[], double[]) - Static method in class de.gsi.math.fitter.NonLinearRegressionFitter
- setTrueFreqWeights(VoxelArrayND, VoxelArrayND) - Static method in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- setTwoPole(Complex, Complex, Complex, Complex) - Method in class de.gsi.math.filter.iir.Biquad
- setVerbosity(boolean) - Method in class de.gsi.math.fitter.LinearRegressionFitter
-
Fitter verbosity (local print-out) is enabled...
- setWindowCache(Map<Apodization.ApodizationArrayDescription, double[]>) - Static method in enum de.gsi.math.spectra.Apodization
-
Changes the map used to cache the apodization windows.
- ShortTimeFourierTransform - Class in de.gsi.math.spectra
-
Static utility class providing magnitude spectrograms from complex and real valued input data.
- ShortTimeFourierTransform() - Constructor for class de.gsi.math.spectra.ShortTimeFourierTransform
- ShortTimeFourierTransform.Padding - Enum in de.gsi.math.spectra
- Sigma() - Static method in class de.gsi.math.TMathConstants
- SigmaUncertainty() - Static method in class de.gsi.math.TMathConstants
- SigmoidFunction - Class in de.gsi.math.functions
- SigmoidFunction(String) - Constructor for class de.gsi.math.functions.SigmoidFunction
-
initialise the sigmoid function y = 1.0/(1.0*exp(-slope*(x-location)))) parameter order: parameter[0] = location (default: 0.0) parameter[1] = slope (default: 1.0) parameter[2] = scaling (default: 1.0 (fixed))
- SigmoidFunction(String, double[]) - Constructor for class de.gsi.math.functions.SigmoidFunction
-
initialise the sigmoid function y = 1.0/(1.0*exp(-slope*(x-location)))) parameter order: parameter[0] = location (default: 0.0) parameter[1] = slope (default: 1.0) parameter[2] = scaling (default: 1.0 (fixed))
- Sign(double, double) - Static method in class de.gsi.math.TMathConstants
- Sign(float, float) - Static method in class de.gsi.math.TMathConstants
- Sign(int, int) - Static method in class de.gsi.math.TMathConstants
- Sign(long, long) - Static method in class de.gsi.math.TMathConstants
- Sign(short, short) - Static method in class de.gsi.math.TMathConstants
- SimpleDataSetEstimators - Class in de.gsi.math
-
computation of statistical estimates
- simplex(Function1D, double[]) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
Nelder and Mead simplex Default tolerance Default maximum iterations Default step option - all step[i] = dStep
- simplex(Function1D, double[]) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- simplex(Function1D, double[], double) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
Nelder and Mead simplex Default maximum iterations Default step option - all step[i] = dStep
- simplex(Function1D, double[], double) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- simplex(Function1D, double[], double[]) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
Nelder and Mead simplex
- simplex(Function1D, double[], double[]) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- simplex(Function1D, double[], double[], double) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
Nelder and Mead simplex Default maximum iterations
- simplex(Function1D, double[], double[], double) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- simplex(Function1D, double[], double[], double, int) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
Nelder and Mead Simplex Simplex Non-linear Regression
- simplex(Function1D, double[], double[], double, int) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- simplex(Function1D, double[], double[], int) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
Nelder and Mead simplex Default tolerance
- simplex(Function1D, double[], double[], int) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- simplex(Function1D, double[], double, int) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
Nelder and Mead simplex Default step option - all step[i] = dStep
- simplex(Function1D, double[], double, int) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- simplex(Function1D, double[], int) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
Nelder and Mead simplex Default tolerance Default step option - all step[i] = dStep
- simplex(Function1D, double[], int) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- simplex2(FunctionND, double[]) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
Deprecated.do not use yet in a production environment, needs some clean-up
- simplex2(FunctionND, double[]) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- simplex2(FunctionND, double[], double) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
Deprecated.do not use yet in a production environment, needs some clean-up
- simplex2(FunctionND, double[], double) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- simplex2(FunctionND, double[], double[]) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
Deprecated.do not use yet in a production environment, needs some clean-up
- simplex2(FunctionND, double[], double[]) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- simplex2(FunctionND, double[], double[], double) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
Deprecated.do not use yet in a production environment, needs some clean-up
- simplex2(FunctionND, double[], double[], double) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- simplex2(FunctionND, double[], double[], double, int) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
Deprecated.do not use yet in a production environment, needs some clean-up
- simplex2(FunctionND, double[], double[], double, int) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- simplex2(FunctionND, double[], double[], int) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
Deprecated.do not use yet in a production environment, needs some clean-up
- simplex2(FunctionND, double[], double[], int) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- simplex2(FunctionND, double[], double, int) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
Deprecated.do not use yet in a production environment, needs some clean-up
- simplex2(FunctionND, double[], double, int) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- simplex2(FunctionND, double[], int) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
Deprecated.do not use yet in a production environment, needs some clean-up
- simplex2(FunctionND, double[], int) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- simplexSd - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter
- simplexSd - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- sin(double) - Static method in class de.gsi.math.FastMath
- sin(float) - Static method in class de.gsi.math.FastMath
- Sin(double) - Static method in class de.gsi.math.TMathConstants
- Sinc(double, boolean) - Static method in class de.gsi.math.TMath
-
Calculate the sinc = sin(x)/x function if norm ==true then sinc = sinc(pi*x)/(pi*x) is used
- sinDeg(double) - Static method in class de.gsi.math.FastMath
- sinDeg(float) - Static method in class de.gsi.math.FastMath
- SingularValueDecomposition - Class in de.gsi.math.matrix
-
computes IN = U*S*V^T.
- SingularValueDecomposition() - Constructor for class de.gsi.math.matrix.SingularValueDecomposition
-
default constructor.
- SingularValueDecomposition(MatrixD) - Constructor for class de.gsi.math.matrix.SingularValueDecomposition
-
default constructor.
- SinH(double) - Static method in class de.gsi.math.TMathConstants
- sleep(long) - Static method in class de.gsi.math.utils.ConcurrencyUtils
-
Causes the currently executing thread to sleep (temporarily cease execution) for the specified number of milliseconds.
- SMOOTHING_WIDTH11 - de.gsi.math.spectra.TSpectrum.SmoothWindow
- SMOOTHING_WIDTH13 - de.gsi.math.spectra.TSpectrum.SmoothWindow
- SMOOTHING_WIDTH15 - de.gsi.math.spectra.TSpectrum.SmoothWindow
- SMOOTHING_WIDTH3 - de.gsi.math.spectra.TSpectrum.SmoothWindow
- SMOOTHING_WIDTH5 - de.gsi.math.spectra.TSpectrum.SmoothWindow
- SMOOTHING_WIDTH7 - de.gsi.math.spectra.TSpectrum.SmoothWindow
- SMOOTHING_WIDTH9 - de.gsi.math.spectra.TSpectrum.SmoothWindow
- smoothMarkov(double[], double[], int, int) - Static method in class de.gsi.math.spectra.TSpectrum
-
ONE-DIMENSIONAL MARKOV SPECTRUM SMOOTHING FUNCTION This function calculates smoothed spectrum from source spectrum based on Markov chain method.
- solve(MatrixD) - Method in class de.gsi.math.matrix.CholeskyDecomposition
-
Solve A*X = B
- solve(MatrixD) - Method in class de.gsi.math.matrix.LUDecomposition
-
Solve A*X = B
- solve(MatrixD) - Method in class de.gsi.math.matrix.MatrixD
-
Solve A*X = B
- solve(MatrixD) - Method in class de.gsi.math.matrix.QRDecomposition
-
Least squares solution of A*X = B
- solveTranspose(MatrixD) - Method in class de.gsi.math.matrix.MatrixD
-
Solve X*A = B, which is also A'*X' = B'
- sort(double[], double[], double[]) - Static method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
sort elements x, y and w arrays of doubles into ascending order of the x array using selection sort method
- sort(double[], double[], double[]) - Static method in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- sort(double[], int, boolean) - Static method in class de.gsi.math.SimpleDataSetEstimators
-
Sorts the input a array
- Sort(double[], int, boolean) - Static method in class de.gsi.math.TMath
-
Sorts the input a array
- Sort(float[], int, boolean) - Static method in class de.gsi.math.TMath
-
Sorts the input a array
- Sort(int[], int, boolean) - Static method in class de.gsi.math.TMath
-
Sorts the input a array
- Sort(long[], int, boolean) - Static method in class de.gsi.math.TMath
-
Sorts the input a array
- Sort(short[], int, boolean) - Static method in class de.gsi.math.TMath
-
Sorts the input a array
- SpectrumTools - Class in de.gsi.math.spectra
-
Class implements frequency interpolation of spectral peaks.
- SpectrumTools() - Constructor for class de.gsi.math.spectra.SpectrumTools
- Sphere(double[], double) - Static method in class de.gsi.math.TRandom
-
generates random vectors, uniformly distributed over the surface of a sphere of given radius.
- Spline - Class in de.gsi.math
-
class implementing natural cubic splines according to: http://en.wikipedia.org/wiki/Spline_(mathematics)
- Spline(double[], double[]) - Constructor for class de.gsi.math.Spline
-
default constructor
- Spline(double[], double[], int, int) - Constructor for class de.gsi.math.Spline
- split(double[], int) - Method in class de.gsi.math.spectra.wavelet.Lift
-
Split the vec into even and odd elements, where the even elements are in the first half of the vector and the odd elements are in the second half.
- sqr(double[]) - Static method in class de.gsi.math.ArrayMath
- sqr(double[], int) - Static method in class de.gsi.math.ArrayMath
- Sqr(double) - Static method in class de.gsi.math.TMathConstants
- SQR - de.gsi.math.DataSetMath.MathOp
- sqrFunction(DataSet) - Static method in class de.gsi.math.DataSetMath
- sqrFunction(DataSet, DataSet) - Static method in class de.gsi.math.DataSetMath
- sqrInPlace(double[]) - Static method in class de.gsi.math.ArrayMath
- sqrInPlace(double[], int) - Static method in class de.gsi.math.ArrayMath
- sqrt(double[]) - Static method in class de.gsi.math.ArrayMath
- sqrt(double[], int) - Static method in class de.gsi.math.ArrayMath
- Sqrt(double) - Static method in class de.gsi.math.TMathConstants
- SQRT - de.gsi.math.DataSetMath.MathOp
- sqrt_3 - Variable in class de.gsi.math.spectra.wavelet.DaubechiesWavelet
- sqrt_3 - Variable in class de.gsi.math.spectra.wavelet.WaveletTransform
- Sqrt2() - Static method in class de.gsi.math.TMathConstants
- sqrtFunction(DataSet) - Static method in class de.gsi.math.DataSetMath
- sqrtFunction(DataSet, DataSet) - Static method in class de.gsi.math.DataSetMath
- sqrtInPlace(double[]) - Static method in class de.gsi.math.ArrayMath
- sqrtInPlace(double[], int) - Static method in class de.gsi.math.ArrayMath
- squareElements() - Method in class de.gsi.math.matrix.MatrixD
-
Square individual matrix elements
- STANDARD - de.gsi.math.fitter.LinearRegressionFitter.REG_METHOD
- START_THREADS - Variable in class de.gsi.math.spectra.dtft.DiscreteTimeFourierTransform
- START_THREADS - Static variable in class de.gsi.math.spectra.lomb.LombPeriodogram
- START_THREADS - Variable in class de.gsi.math.spectra.wavelet.ContinuousWavelet
- startH - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter
- startH - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- statFlag - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter
- statFlag - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- step - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter
- step - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- StruveH0(double) - Static method in class de.gsi.math.TMath
- StruveH1(double) - Static method in class de.gsi.math.TMath
- StruveL0(double) - Static method in class de.gsi.math.TMath
- StruveL1(double) - Static method in class de.gsi.math.TMath
- Student(double, double) - Static method in class de.gsi.math.TMath
-
Computes density function for Student's t- distribution (the probability function (integral of density) is computed in StudentI).
- StudentI(double, double) - Static method in class de.gsi.math.TMath
-
Calculates the cumulative distribution function of Student's t-distribution second parameter stands for number of degrees of freedom, not for the number of samples if x has Student's t-distribution, the function returns the probability of x being less than T.
- StudentQuantile(double, double, boolean) - Static method in class de.gsi.math.TMath
- submit(Runnable) - Static method in class de.gsi.math.utils.ConcurrencyUtils
-
Submits a Runnable task for execution and returns a Future representing that task.
- submit(Callable<T>) - Static method in class de.gsi.math.utils.ConcurrencyUtils
-
Submits a value-returning task for execution and returns a Future representing the pending results of the task.
- subtract(double[], double) - Static method in class de.gsi.math.ArrayMath
- subtract(double[], double[]) - Static method in class de.gsi.math.ArrayMath
- subtract(double[], double[], int) - Static method in class de.gsi.math.ArrayMath
- subtract(double[], int, double) - Static method in class de.gsi.math.ArrayMath
- SUBTRACT - de.gsi.math.DataSetMath.MathOp
- subtractFunction(DataSet, double) - Static method in class de.gsi.math.DataSetMath
- subtractFunction(DataSet, DataSet) - Static method in class de.gsi.math.DataSetMath
- subtractInPlace(double[], double) - Static method in class de.gsi.math.ArrayMath
- subtractInPlace(double[], double[]) - Static method in class de.gsi.math.ArrayMath
- subtractInPlace(double[], double[], int) - Static method in class de.gsi.math.ArrayMath
- subtractInPlace(double[], int, double) - Static method in class de.gsi.math.ArrayMath
- Sum(double[], double[]) - Static method in class de.gsi.math.TMath
- Sum(double[], double[], int) - Static method in class de.gsi.math.TMath
-
computes the sum of vectors
- Sum(float[], float[]) - Static method in class de.gsi.math.TMath
- Sum(float[], float[], int) - Static method in class de.gsi.math.TMath
-
computes the sum of vectors
- Sum(int[], int[]) - Static method in class de.gsi.math.TMath
- Sum(int[], int[], int) - Static method in class de.gsi.math.TMath
-
computes the sum of vectors
- Sum(long[], long[]) - Static method in class de.gsi.math.TMath
- Sum(long[], long[], int) - Static method in class de.gsi.math.TMath
-
computes the sum of vectors
- Sum(short[], short[]) - Static method in class de.gsi.math.TMath
- Sum(short[], short[], int) - Static method in class de.gsi.math.TMath
-
computes the sum of vectors
- sumConstraints - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter
- sumConstraints - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- sumOfSquares - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter
- sumOfSquares - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- sumPenalties - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter
- sumPenalties - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- sumPenalty - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter
- sumPenalty - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- sumPenaltyCheck - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter
- sumPenaltyCheck - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- sumPenaltyNumber - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter
- sumPenaltyNumber - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- sumPenaltyParam - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter
- sumPenaltyParam - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- sumPlusOrMinus - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter
- sumPlusOrMinus - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- sumSquares(Object, double[]) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
Calculate the sum of squares of the residuals for non-linear regression
- sumSquares(Object, double[]) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.Calculate the sum of squares of the residuals for non-linear regression
- svd() - Method in class de.gsi.math.matrix.MatrixD
-
Singular Value Decomposition
- Symlets10 - de.gsi.math.spectra.wavelet.WaveletCoefficients.Wavelet
- Symlets11 - de.gsi.math.spectra.wavelet.WaveletCoefficients.Wavelet
- Symlets12 - de.gsi.math.spectra.wavelet.WaveletCoefficients.Wavelet
- Symlets13 - de.gsi.math.spectra.wavelet.WaveletCoefficients.Wavelet
- Symlets14 - de.gsi.math.spectra.wavelet.WaveletCoefficients.Wavelet
- Symlets15 - de.gsi.math.spectra.wavelet.WaveletCoefficients.Wavelet
- Symlets16 - de.gsi.math.spectra.wavelet.WaveletCoefficients.Wavelet
- Symlets17 - de.gsi.math.spectra.wavelet.WaveletCoefficients.Wavelet
- Symlets18 - de.gsi.math.spectra.wavelet.WaveletCoefficients.Wavelet
- Symlets19 - de.gsi.math.spectra.wavelet.WaveletCoefficients.Wavelet
- Symlets2 - de.gsi.math.spectra.wavelet.WaveletCoefficients.Wavelet
- Symlets20 - de.gsi.math.spectra.wavelet.WaveletCoefficients.Wavelet
- Symlets3 - de.gsi.math.spectra.wavelet.WaveletCoefficients.Wavelet
- Symlets4 - de.gsi.math.spectra.wavelet.WaveletCoefficients.Wavelet
- Symlets5 - de.gsi.math.spectra.wavelet.WaveletCoefficients.Wavelet
- Symlets6 - de.gsi.math.spectra.wavelet.WaveletCoefficients.Wavelet
- Symlets7 - de.gsi.math.spectra.wavelet.WaveletCoefficients.Wavelet
- Symlets8 - de.gsi.math.spectra.wavelet.WaveletCoefficients.Wavelet
- Symlets9 - de.gsi.math.spectra.wavelet.WaveletCoefficients.Wavelet
T
- Tan(double) - Static method in class de.gsi.math.TMathConstants
- TanH(double) - Static method in class de.gsi.math.TMathConstants
- tenLog10(double[]) - Static method in class de.gsi.math.ArrayMath
- tenLog10(double[], int) - Static method in class de.gsi.math.ArrayMath
- tenLog10InPlace(double[]) - Static method in class de.gsi.math.ArrayMath
- tenLog10InPlace(double[], int) - Static method in class de.gsi.math.ArrayMath
- Test() - Method in class de.gsi.math.spectra.Convolution
- testInvert() - Method in class de.gsi.math.matrix.SingularValueDecomposition
-
Test of 'inputMatrix'*'pseudo-inverse SVD matrix' == 1.
- testInvert(double) - Method in class de.gsi.math.matrix.SingularValueDecomposition
-
Test of 'inputMatrix'*'pseudo-inverse SVD matrix' == '1' matrix.
- testSVD() - Method in class de.gsi.math.matrix.SingularValueDecomposition
-
Tests whether 'inputMatrix' == 'SVD decomposed matrix'.
- testSVD(double) - Method in class de.gsi.math.matrix.SingularValueDecomposition
-
Tests whether 'inputMatrix' == 'SVD decomposed matrix'.
- TIKHONOV - de.gsi.math.fitter.LinearRegressionFitter.REG_METHOD
- times(double) - Method in class de.gsi.math.matrix.MatrixD
-
Multiply a matrix by a scalar, C = s*A
- times(MatrixD) - Method in class de.gsi.math.matrix.MatrixD
-
Linear algebraic matrix multiplication, A * B
- timesEquals(double) - Method in class de.gsi.math.matrix.MatrixD
-
Multiply a matrix by a scalar in place, A = s*A
- TMath - Class in de.gsi.math
- TMath() - Constructor for class de.gsi.math.TMath
- TMathConstants - Class in de.gsi.math
- TMathConstants() - Constructor for class de.gsi.math.TMathConstants
- toString() - Method in class de.gsi.math.Spline
- toString() - Method in class de.gsi.math.TRandom
- trace() - Method in class de.gsi.math.matrix.MatrixD
-
Matrix trace.
- TRandom - Class in de.gsi.math
-
TRandom basic Random number generator class (periodicity = 10**9).
- TRandom(long) - Constructor for class de.gsi.math.TRandom
-
default constructor
- TRandom1 - Class in de.gsi.math
- TRandom1() - Constructor for class de.gsi.math.TRandom1
-
default constructor
- TRandom1(long, int) - Constructor for class de.gsi.math.TRandom1
-
Luxury level is set in the same way as the original FORTRAN routine.
- TRandom3 - Class in de.gsi.math
- TRandom3(int) - Constructor for class de.gsi.math.TRandom3
- transform(double[]) - Method in class de.gsi.math.spectra.HilbertTransform
-
Hilbert Transform
- transform(double[]) - Static method in class de.gsi.math.spectra.wavelet.FastWaveletTransform
- transform(double[], double[], boolean) - Method in class de.gsi.math.spectra.Convolution
-
implements convolution via FFT transform only the real part of the signal is computed
- transform(double[], double[], int) - Method in interface de.gsi.math.MathDataSet.DataSetValueFunction
- transform(double[], int) - Method in class de.gsi.math.spectra.wavelet.DaubechiesWavelet
-
Forward wavelet transform.
- transform(double[], int) - Static method in class de.gsi.math.spectra.wavelet.FastWaveletTransform
- transform(double[], int) - Method in class de.gsi.math.spectra.wavelet.WaveletTransform
-
Forward wavelet transform.
- transform(double, double, LayoutBase, LayoutBase) - Static method in class de.gsi.math.filter.iir.BandPassTransform
- transform(double, double, LayoutBase, LayoutBase) - Static method in class de.gsi.math.filter.iir.BandStopTransform
- transform(double, LayoutBase, LayoutBase) - Static method in class de.gsi.math.filter.iir.HighPassTransform
- transform(double, LayoutBase, LayoutBase) - Static method in class de.gsi.math.filter.iir.LowPassTransform
- transform(DataSet) - Method in interface de.gsi.math.MathDataSet.DataSetFunction
- transform(List<DataSet>, MathDataSet) - Method in interface de.gsi.math.MathDataSet.DataSetsFunction
- transform2(double[]) - Method in class de.gsi.math.spectra.HilbertTransform
- transformFourier(double[]) - Method in class de.gsi.math.spectra.HilbertTransform
-
FFT based Hilbert Transform computation is done in Fourier domain
- transformFull(double[], double[], boolean) - Method in class de.gsi.math.spectra.Convolution
-
implements convolution via FFT transform only the real and imaginary part of the signal is returned
- transformTime(double[]) - Method in class de.gsi.math.spectra.HilbertTransform
-
discrete Hilbert transform according to: S.
- transpose() - Method in class de.gsi.math.matrix.MatrixD
-
Matrix transpose.
- TrigCosineFunction - Class in de.gsi.math.functions
-
class implementing the trigonometric Cosine function
- TrigCosineFunction(String) - Constructor for class de.gsi.math.functions.TrigCosineFunction
- TrigCosineFunction(String, double[]) - Constructor for class de.gsi.math.functions.TrigCosineFunction
-
initialise Sine function y = [0]*cos(2*pi*[[1]*t+[2]]) parameter order: parameter[0] = amplitude (default: 1.0) parameter[1] = frequency (default: 1.0) parameter[2] = phase (default: 1.0)
- TrigSineFunction - Class in de.gsi.math.functions
-
class implementing the trigonometric Sine function
- TrigSineFunction(String) - Constructor for class de.gsi.math.functions.TrigSineFunction
- TrigSineFunction(String, double[]) - Constructor for class de.gsi.math.functions.TrigSineFunction
-
initialise Sine function y = [0]*sin(2*pi*[[1]*t+[2]]) parameter order: parameter[0] = amplitude (default: 1.0) parameter[1] = frequency (default: 1.0) parameter[2] = phase (default: 1.0)
- trueFreq - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter
- trueFreq - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- TruncatedGaussianFunction - Class in de.gsi.math.functions
-
class implementing the Gaussian function (/normal distribution)
- TruncatedGaussianFunction(String) - Constructor for class de.gsi.math.functions.TruncatedGaussianFunction
-
initialise Gaussian function (/normal distribution) y = scale/(sigma*sqrt(2.pi)) * exp( -0.5 [(x - mean)/sigma]^2 ) parameter order: parameter[0] = mean (default: 0.0) parameter[1] = sigma (default: 1.0) parameter[2] = scale (default: 1.0) parameter[3] = truncation (default: 3.0 sigma)
- TruncatedGaussianFunction(String, double[]) - Constructor for class de.gsi.math.functions.TruncatedGaussianFunction
-
initialise Gaussian function (/normal distribution) y = scale/(sigma*sqrt(2.pi)) * exp( -0.5 [(x - mean)/sigma]^2 ) parameter order: parameter[0] = mean (default: 0.0) parameter[1] = sigma (default: 1.0) parameter[2] = scale (default: 1.0) parameter[3] = truncation (default: 2.0 sigma)
- TSpectrum - Class in de.gsi.math.spectra
-
Original Author: Miroslav Morhac 27/05/99 clean up/java port: Ralph Steinhagen 18/04/18 THIS CLASS CONTAINS ADVANCED SPECTRA PROCESSING FUNCTIONS.
- TSpectrum.Direction - Enum in de.gsi.math.spectra
- TSpectrum.FilterOrder - Enum in de.gsi.math.spectra
- TSpectrum.SmoothWindow - Enum in de.gsi.math.spectra
- tValues - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter
- tValues - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- TwoPi() - Static method in class de.gsi.math.TMathConstants
U
- uminus() - Method in class de.gsi.math.matrix.MatrixD
-
Unary minus
- unfolding(double[], double[][], double[], int, int, int, int, double) - Static method in class de.gsi.math.spectra.TSpectrum
-
ONE-DIMENSIONAL UNFOLDING FUNCTION This function unfolds source spectrum according to response matrix columns.
- Uniform(double) - Static method in class de.gsi.math.TRandom
-
returns a uniform deviate on the interval ]0, x1].
- Uniform(double, double) - Static method in class de.gsi.math.TRandom
-
returns a uniform deviate on the interval ]x1, x2].
- UnwrapPhase1(double[]) - Static method in class de.gsi.math.spectra.HilbertTransform
- UnwrapPhase2(double[]) - Static method in class de.gsi.math.spectra.HilbertTransform
- update(double[], int, Lift.Direction) - Method in class de.gsi.math.spectra.wavelet.Lift
-
Update step, to be defined by the subclass
- update(double[], int, Lift.Direction) - Method in class de.gsi.math.spectra.wavelet.MyWavelet
- Update(Object) - Method in interface de.gsi.math.utils.UpdateListener
- UpdateListener - Interface in de.gsi.math.utils
- updateOne(double[], int, Lift.Direction) - Method in class de.gsi.math.spectra.wavelet.MyWavelet
- USE_SVD - Static variable in class de.gsi.math.fitter.LinearRegressionFitter
V
- valueOf(String) - Static method in enum de.gsi.math.ArrayMath.FilterType
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum de.gsi.math.DataSetMath.ErrType
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum de.gsi.math.DataSetMath.Filter
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum de.gsi.math.DataSetMath.MathOp
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum de.gsi.math.fitter.LinearRegressionFitter.REG_METHOD
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum de.gsi.math.spectra.Apodization
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum de.gsi.math.spectra.ShortTimeFourierTransform.Padding
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum de.gsi.math.spectra.TSpectrum.Direction
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum de.gsi.math.spectra.TSpectrum.FilterOrder
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum de.gsi.math.spectra.TSpectrum.SmoothWindow
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum de.gsi.math.spectra.wavelet.Lift.Direction
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum de.gsi.math.spectra.wavelet.WaveletCoefficients.MODE
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum de.gsi.math.spectra.wavelet.WaveletCoefficients.Wavelet
-
Returns the enum constant of this type with the specified name.
- values - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter
- values - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- values() - Static method in enum de.gsi.math.ArrayMath.FilterType
-
Returns an array containing the constants of this enum type, in the order they are declared.
- values() - Static method in enum de.gsi.math.DataSetMath.ErrType
-
Returns an array containing the constants of this enum type, in the order they are declared.
- values() - Static method in enum de.gsi.math.DataSetMath.Filter
-
Returns an array containing the constants of this enum type, in the order they are declared.
- values() - Static method in enum de.gsi.math.DataSetMath.MathOp
-
Returns an array containing the constants of this enum type, in the order they are declared.
- values() - Static method in enum de.gsi.math.fitter.LinearRegressionFitter.REG_METHOD
-
Returns an array containing the constants of this enum type, in the order they are declared.
- values() - Static method in enum de.gsi.math.spectra.Apodization
-
Returns an array containing the constants of this enum type, in the order they are declared.
- values() - Static method in enum de.gsi.math.spectra.ShortTimeFourierTransform.Padding
-
Returns an array containing the constants of this enum type, in the order they are declared.
- values() - Static method in enum de.gsi.math.spectra.TSpectrum.Direction
-
Returns an array containing the constants of this enum type, in the order they are declared.
- values() - Static method in enum de.gsi.math.spectra.TSpectrum.FilterOrder
-
Returns an array containing the constants of this enum type, in the order they are declared.
- values() - Static method in enum de.gsi.math.spectra.TSpectrum.SmoothWindow
-
Returns an array containing the constants of this enum type, in the order they are declared.
- values() - Static method in enum de.gsi.math.spectra.wavelet.Lift.Direction
-
Returns an array containing the constants of this enum type, in the order they are declared.
- values() - Static method in enum de.gsi.math.spectra.wavelet.WaveletCoefficients.MODE
-
Returns an array containing the constants of this enum type, in the order they are declared.
- values() - Static method in enum de.gsi.math.spectra.wavelet.WaveletCoefficients.Wavelet
-
Returns an array containing the constants of this enum type, in the order they are declared.
- values(int, DataSet) - Static method in class de.gsi.math.DataSetMath
-
convenience short-hand notation for getting value array
- Variance(double[], double[]) - Static method in class de.gsi.math.TMath
- Vavilov(double, double, double) - Static method in class de.gsi.math.TMath
- VavilovDenEval(double, double[], double[], int) - Static method in class de.gsi.math.TMath
-
Internal function, called by Vavilov and VavilovSet
- VavilovI(double, double, double) - Static method in class de.gsi.math.TMath
- VavilovSet(double, double, boolean, double[], double[], double[], int[], int[]) - Static method in class de.gsi.math.TMath
-
Internal function, called by Vavilov and VavilovI
- Voigt(double, double, double, int) - Method in class de.gsi.math.TMath
- VoxelArrayND - Interface in de.gsi.math.storage
W
- waitForCompletion(Future<?>[]) - Static method in class de.gsi.math.utils.ConcurrencyUtils
-
Waits for all threads to complete computation.
- WaveletCoefficients - Class in de.gsi.math.spectra.wavelet
-
common wavelet coefficients definition Wavelet coefficient definitions taken from http://wavelets.pybytes.com/
- WaveletCoefficients() - Constructor for class de.gsi.math.spectra.wavelet.WaveletCoefficients
- WaveletCoefficients.MODE - Enum in de.gsi.math.spectra.wavelet
- WaveletCoefficients.Wavelet - Enum in de.gsi.math.spectra.wavelet
- WaveletTransform - Class in de.gsi.math.spectra.wavelet
- WaveletTransform() - Constructor for class de.gsi.math.spectra.wavelet.WaveletTransform
- WaveletTransform(double[], double, double, double) - Method in class de.gsi.math.spectra.wavelet.ContinuousWavelet
-
Wavelet Scalogram implementation with truncated convolution the assumption is made that the wavelet vanishes for large scales
- WaveletTransform(Complex[], double, double, double) - Method in class de.gsi.math.spectra.wavelet.ContinuousWavelet
-
Complex Wavelet Scalogram implementation -- no assumptions on the Wavelet nor input data are made.
- weight - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter
- weight - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- weightFlag - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter
- weightFlag - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- weightOpt - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter
- weightOpt - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
X
- xData - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter
- xData - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
Y
- yCalc - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter
- yCalc - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- yData - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter
- yData - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
Z
- ZERO - de.gsi.math.spectra.ShortTimeFourierTransform.Padding
- zeroCheck - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter
- zeroCheck - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- zeros - Variable in class de.gsi.math.filter.iir.PoleZeroPair
- ZOH - de.gsi.math.spectra.ShortTimeFourierTransform.Padding
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