- 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, int) - Method in class de.gsi.math.filter.iir.Bessel
-
Bandpass filter with custom 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, int) - Method in class de.gsi.math.filter.iir.Butterworth
-
Band-pass filter with custom 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, int) - Method in class de.gsi.math.filter.iir.ChebyshevI
-
Bandpass filter with custom 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.ChebyshevII
-
Bandpass 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, int) - Method in class de.gsi.math.filter.iir.Bessel
-
Bandstop filter with custom 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, int) - Method in class de.gsi.math.filter.iir.Butterworth
-
Band-stop filter with custom 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, int) - Method in class de.gsi.math.filter.iir.ChebyshevI
-
Band-stop filter with custom 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.ChebyshevII
-
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, int) - Static method in class de.gsi.math.TMath
-
- Binomial(int, double) - Method in class de.gsi.math.TRandom
-
- 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
-
- BiquadPoleState - Class in de.gsi.math.filter.iir
-
PoleZeroPair with gain factor
- BiquadPoleState(Complex, Complex) - Constructor for class de.gsi.math.filter.iir.BiquadPoleState
-
- BiquadPoleState(Complex, Complex, Complex, Complex) - Constructor for class de.gsi.math.filter.iir.BiquadPoleState
-
- BreitWigner(double, double, double) - Static method in class de.gsi.math.TMath
-
Calculate a Breit Wigner function with mean and gamma.
- BreitWigner(double, double) - Method in class de.gsi.math.TRandom
-
Return a number distributed following a BreitWigner 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() - 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) - 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(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.
- 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
-
- 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[]) - 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
-
- computeInterpolatedFWHM(double[], int, int) - Static method in class de.gsi.math.SimpleDataSetEstimators
-
compute interpolated Full-Width-Half-Maximum
- 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[]) - 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(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_dB(double[], 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
- computeMaxima(double[]) - Static method in class de.gsi.math.spectra.SpectrumTools
-
compute maxima
- computeMinima(double[]) - Static method in class de.gsi.math.spectra.SpectrumTools
-
compute minima
- computePeridodogram(double[], double[]) - Method in class de.gsi.math.spectra.lomb.LombPeriodogram
-
Lomb periodogram computation.
- computePeridodogram(double[], double[], double[]) - 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])
- 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
-
- 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.
- FastWaveletTransform() - Constructor for class de.gsi.math.spectra.wavelet.FastWaveletTransform
-
- 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
-
- fgAverageWindow - Variable in class de.gsi.math.spectra.TSpectrum
-
- fgIterations - Variable in class de.gsi.math.spectra.TSpectrum
-
- 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
- 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
-
- 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
-
- fMaxPeaks - Variable in class de.gsi.math.spectra.TSpectrum
-
- 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
-
- 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).
- fResolution - Variable in class de.gsi.math.spectra.TSpectrum
-
- 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() - 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
-
- gain - Variable in class de.gsi.math.filter.iir.BiquadPoleState
-
- 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) - 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[], int) - Static method in class de.gsi.math.TMath
-
geometric_mean = (\Prod_{i=0}^{n-1} \abs{a[i]})^{1/n}
- GeometricMean(double[]) - 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(float[]) - 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(int[]) - 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(long[]) - 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}
- GeometricMean(short[]) - Static method in class de.gsi.math.TMath
-
- geometricMeanFilteredFunction(DataSet, double) - Static method in class de.gsi.math.DataSetMath
-
- 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.
- 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
-
- 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.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.
- 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, double, int) - Method in interface de.gsi.math.functions.Function1D
-
- getDataSetEstimate(double[]) - 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(int, 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) - Method in class de.gsi.math.matrix.MatrixD
-
Get a sub-matrix.
- getMatrix(int[], int[]) - Method in class de.gsi.math.matrix.MatrixD
-
Get a sub-matrix.
- getMatrix() - Method in class de.gsi.math.matrix.SingularValueDecomposition
-
- 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
-
- getMedian(DataSet, int, int) - Static method in class de.gsi.math.SimpleDataSetEstimators
-
- getMinimum(DataSet, int, int) - Static method in class de.gsi.math.SimpleDataSetEstimators
-
- 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() - Static method in class de.gsi.math.fitter.GaussFitting
-
- getRms(DataSet, int, int) - Static method in class de.gsi.math.SimpleDataSetEstimators
-
- 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
-
- 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(double[]) - Method in class de.gsi.math.functions.AbstractFunctionND
-
- 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 class de.gsi.math.functions.EllipseFunction
-
- getValue(double[], int) - Method in class de.gsi.math.functions.EllipseFunction
-
- getValue(double) - Method in interface de.gsi.math.functions.Function1D
-
- getValue(double[]) - Method in interface de.gsi.math.functions.FunctionND
-
- getValue(double[], int) - Method in interface de.gsi.math.functions.FunctionND
-
- 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() - Method in enum de.gsi.math.spectra.TSpectrum.SmoothWindow
-
- getValue(double) - Method in class de.gsi.math.Spline
-
returns the cubic-spline interpolated value at x
- 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
-
- 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() - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
Ignore check on whether degrees of freedom are greater than zero
- ignoreDofFcheck - Variable in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- 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
-
- 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) - 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, int) - Static method in class de.gsi.math.SimpleDataSetEstimators
-
interpolation using a Gaussian interpolation
- interpolateGaussian(double[], int) - Static method in class de.gsi.math.spectra.SpectrumTools
-
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
-
- 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() - 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[], int) - Method in class de.gsi.math.spectra.wavelet.DaubechiesWavelet
-
- invTransform(double[]) - Method in class de.gsi.math.spectra.wavelet.FastWaveletTransform
-
- 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 - Variable in class de.gsi.math.functions.AbstractFunction
-
- 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.
- 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, 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.
- set(int, double) - Method in class de.gsi.math.storage.DoubleStorage1D
-
- 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
-
- setArray(double[]) - Method in class de.gsi.math.storage.DoubleStorage1D
-
- setAverageWindow(int) - Method in class de.gsi.math.spectra.TSpectrum
-
- 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.
- setDeconIterations(int) - Method in class de.gsi.math.spectra.TSpectrum
-
- 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, 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[], 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
- setPoleZeroForm(BiquadPoleState) - Method in class de.gsi.math.filter.iir.Biquad
-
- 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
- setResolution(double) - Method in class de.gsi.math.spectra.TSpectrum
-
- setScale(double[]) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
Reset scaling factors (scaleOpt 2, see above for scaleOpt 0 and 1)
- setScale(int) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
Reset scaling factors (scaleOpt 0 and 1, see below for scaleOpt 2)
- setScale(double[]) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- 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[], 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, int) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
Nelder and Mead simplex Default step option - all step[i] = dStep
- simplex(Function1D, double[], double[]) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
Nelder and Mead simplex
- 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, int) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
Nelder and Mead Simplex Simplex Non-linear Regression
- simplex(Function1D, double[], double[], int) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
Nelder and Mead simplex Default tolerance
- 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[]) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- simplex(Function1D, double[], double) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- simplex(Function1D, double[], double, int) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- 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.NonLinearRegressionFitter2
-
Deprecated.
- 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.NonLinearRegressionFitter2
-
Deprecated.
- simplex(Function1D, double[], int) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- simplex2(FunctionND, double[]) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
- simplex2(FunctionND, double[], double) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
- simplex2(FunctionND, double[], double, int) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
- simplex2(FunctionND, double[], double[]) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
- simplex2(FunctionND, double[], double[], double) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
- simplex2(FunctionND, double[], double[], double, int) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
- simplex2(FunctionND, double[], double[], int) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
- simplex2(FunctionND, double[], int) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter
-
- simplex2(FunctionND, double[]) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- simplex2(FunctionND, double[], double) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- simplex2(FunctionND, double[], double, int) - Method in class de.gsi.math.fitter.NonLinearRegressionFitter2
-
Deprecated.
- 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.NonLinearRegressionFitter2
-
Deprecated.
- 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.NonLinearRegressionFitter2
-
Deprecated.
- 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.
- 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
- solve_quadratic_1(double, double, double) - Static method in class de.gsi.math.filter.iir.MathSupplement
-
- solve_quadratic_2(double, double, double) - Static method in class de.gsi.math.filter.iir.MathSupplement
-
- 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) - 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
-
- 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
-
- Sqrt2() - Static method in class de.gsi.math.TMathConstants
-
- sqrt_3 - Variable in class de.gsi.math.spectra.wavelet.DaubechiesWavelet
-
- sqrt_3 - Variable in class de.gsi.math.spectra.wavelet.WaveletTransform
-
- 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
- START_THREADS - Variable in class de.gsi.math.spectra.dtft.DiscreteTimeFourierTransform
-
- START_THREADS - 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(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.
- submit(Runnable) - Static method in class de.gsi.math.utils.ConcurrencyUtils
-
Submits a Runnable task for execution and returns a Future representing that 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
-
- subtractFunction(DataSet, DataSet) - Static method in class de.gsi.math.DataSetMath
-
- subtractFunction(DataSet, double) - 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
- 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'.
- 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, 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
-
- transform(double[], double[], int) - Method in interface de.gsi.math.MathDataSet.DataSetValueFunction
-
- 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[]) - Method in class de.gsi.math.spectra.HilbertTransform
-
Hilbert Transform
- transform(double[], int) - Method in class de.gsi.math.spectra.wavelet.DaubechiesWavelet
-
Forward wavelet transform.
- transform(double[]) - Method in class de.gsi.math.spectra.wavelet.FastWaveletTransform
-
- 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.
- 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() - Constructor for class de.gsi.math.spectra.TSpectrum
-
The TSpectrum() default constructor
- TSpectrum(int, double) - Constructor for class de.gsi.math.spectra.TSpectrum
-
- 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
-
- 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() - 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(int, DataSet) - Static method in class de.gsi.math.DataSetMath
-
convenience short-hand notation for getting value array
- 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 - 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.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.
- 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
- VoxelArrayND - Interface in de.gsi.math.storage
-