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java.lang.Objectorg.apache.commons.math3.optim.BaseOptimizer<PAIR>
org.apache.commons.math3.optim.BaseMultivariateOptimizer<PointVectorValuePair>
org.apache.commons.math3.optim.nonlinear.vector.MultivariateVectorOptimizer
public abstract class MultivariateVectorOptimizer
Base class for a multivariate vector function optimizer.
| Field Summary |
|---|
| Fields inherited from class org.apache.commons.math3.optim.BaseOptimizer |
|---|
evaluations, iterations |
| Constructor Summary | |
|---|---|
protected |
MultivariateVectorOptimizer(ConvergenceChecker<PointVectorValuePair> checker)
|
| Method Summary | |
|---|---|
protected double[] |
computeObjectiveValue(double[] params)
Computes the objective function value. |
double[] |
getTarget()
Gets the observed values to be matched by the objective vector function. |
int |
getTargetSize()
Gets the number of observed values. |
RealMatrix |
getWeight()
Gets the weight matrix of the observations. |
PointVectorValuePair |
optimize(OptimizationData... optData)
Stores data and performs the optimization. |
| Methods inherited from class org.apache.commons.math3.optim.BaseMultivariateOptimizer |
|---|
getLowerBound, getStartPoint, getUpperBound |
| Methods inherited from class org.apache.commons.math3.optim.BaseOptimizer |
|---|
doOptimize, getConvergenceChecker, getEvaluations, getIterations, getMaxEvaluations, getMaxIterations, incrementEvaluationCount, incrementIterationCount |
| Methods inherited from class java.lang.Object |
|---|
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
| Constructor Detail |
|---|
protected MultivariateVectorOptimizer(ConvergenceChecker<PointVectorValuePair> checker)
checker - Convergence checker.| Method Detail |
|---|
protected double[] computeObjectiveValue(double[] params)
params - Point at which the objective function must be evaluated.
TooManyEvaluationsException - if the maximal number of evaluations
(of the model vector function) is exceeded.
public PointVectorValuePair optimize(OptimizationData... optData)
throws TooManyEvaluationsException,
DimensionMismatchException
optimize in class BaseMultivariateOptimizer<PointVectorValuePair>optData - Optimization data. The following data will be looked for:
TooManyEvaluationsException - if the maximal number of
evaluations is exceeded.
DimensionMismatchException - if the initial guess, target, and weight
arguments have inconsistent dimensions.public RealMatrix getWeight()
public double[] getTarget()
public int getTargetSize()
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