@Deprecated public abstract class MultivariateVectorOptimizer extends BaseMultivariateOptimizer<PointVectorValuePair>
evaluations, iterations| Modifier | Constructor and Description | 
|---|---|
| protected  | MultivariateVectorOptimizer(ConvergenceChecker<PointVectorValuePair> checker)Deprecated.  | 
| Modifier and Type | Method and Description | 
|---|---|
| protected double[] | computeObjectiveValue(double[] params)Deprecated.  Computes the objective function value. | 
| double[] | getTarget()Deprecated.  Gets the observed values to be matched by the objective vector
 function. | 
| int | getTargetSize()Deprecated.  Gets the number of observed values. | 
| RealMatrix | getWeight()Deprecated.  Gets the weight matrix of the observations. | 
| PointVectorValuePair | optimize(OptimizationData... optData)Deprecated.  Stores data and performs the optimization. | 
| protected void | parseOptimizationData(OptimizationData... optData)Deprecated.  Scans the list of (required and optional) optimization data that
 characterize the problem. | 
getLowerBound, getStartPoint, getUpperBounddoOptimize, getConvergenceChecker, getEvaluations, getIterations, getMaxEvaluations, getMaxIterations, incrementEvaluationCount, incrementIterationCount, optimizeprotected MultivariateVectorOptimizer(ConvergenceChecker<PointVectorValuePair> checker)
checker - Convergence checker.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
The list of parameters is open-ended so that sub-classes can extend it with arguments specific to their concrete implementations.
When the method is called multiple times, instance data is overwritten only when actually present in the list of arguments: when not specified, data set in a previous call is retained (and thus is optional in subsequent calls).
 Important note: Subclasses must override
 BaseOptimizer.parseOptimizationData(OptimizationData[]) if they need to register
 their own options; but then, they must also call
 super.parseOptimizationData(optData) within that method.
optimize in class BaseMultivariateOptimizer<PointVectorValuePair>optData - Optimization data. In addition to those documented in
 BaseMultivariateOptimizer, this method will register the following data:
 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()
protected void parseOptimizationData(OptimizationData... optData)
parseOptimizationData in class BaseMultivariateOptimizer<PointVectorValuePair>optData - Optimization data. The following data will be looked for:
 Copyright © 2003–2016 The Apache Software Foundation. All rights reserved.