Package org.apache.commons.math3.optimization.direct

Class BaseAbstractMultivariateOptimizer<FUNC extends MultivariateFunction>

java.lang.Object

org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer<FUNC>

Type Parameters:

FUNC - Type of the objective function to be optimized.

All Implemented Interfaces:

BaseMultivariateOptimizer<FUNC>, BaseOptimizer<PointValuePair>

Direct Known Subclasses:

AbstractDifferentiableOptimizer, AbstractScalarDifferentiableOptimizer, BaseAbstractMultivariateSimpleBoundsOptimizer, PowellOptimizer, SimplexOptimizer

@Deprecated
public abstract class BaseAbstractMultivariateOptimizer<FUNC extends MultivariateFunction>
extends Object
implements BaseMultivariateOptimizer<FUNC>

Deprecated.

As of 3.1 (to be removed in 4.0).

Base class for implementing optimizers for multivariate scalar functions. This base class handles the boiler-plate methods associated to thresholds, evaluations counting, initial guess and simple bounds settings.

Since:

2.2

Field Summary

Fields

Modifier and Type	Field	Description
protected final Incrementor	evaluations	Deprecated. Evaluations counter.

Constructor Summary

Constructors

Modifier	Constructor	Description
protected	BaseAbstractMultivariateOptimizer()	Deprecated. See SimpleValueChecker()
protected	BaseAbstractMultivariateOptimizer(ConvergenceChecker<PointValuePair> checker)	Deprecated.

Method Summary

Modifier and Type	Method	Description
protected double	computeObjectiveValue(double[] point)	Deprecated. Compute the objective function value.
protected abstract PointValuePair	doOptimize()	Deprecated. Perform the bulk of the optimization algorithm.
ConvergenceChecker<PointValuePair>	getConvergenceChecker()	Deprecated. Get the convergence checker.
int	getEvaluations()	Deprecated. Get the number of evaluations of the objective function.
GoalType	getGoalType()	Deprecated.
double[]	getLowerBound()	Deprecated.
int	getMaxEvaluations()	Deprecated. Get the maximal number of function evaluations.
double[]	getStartPoint()	Deprecated.
double[]	getUpperBound()	Deprecated.
PointValuePair	optimize(int maxEval, FUNC f, GoalType goalType, double[] startPoint)	Deprecated. As of 3.1.
PointValuePair	optimize(int maxEval, FUNC f, GoalType goalType, OptimizationData... optData)	Deprecated. Optimize an objective function.
protected PointValuePair	optimizeInternal(int maxEval, FUNC f, GoalType goalType, double[] startPoint)	Deprecated. As of 3.1.
protected PointValuePair	optimizeInternal(int maxEval, FUNC f, GoalType goalType, OptimizationData... optData)	Deprecated. Optimize an objective function.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Details

evaluations

protected final Incrementor evaluations

Deprecated.

Evaluations counter.

Constructor Details

BaseAbstractMultivariateOptimizer

@Deprecated
protected BaseAbstractMultivariateOptimizer()

Deprecated.

See SimpleValueChecker()

Simple constructor with default settings. The convergence check is set to a SimpleValueChecker.

BaseAbstractMultivariateOptimizer

protected BaseAbstractMultivariateOptimizer(ConvergenceChecker<PointValuePair> checker)

Deprecated.

Parameters:

checker - Convergence checker.

Method Details

getMaxEvaluations

public int getMaxEvaluations()

Deprecated.

Get the maximal number of function evaluations.

Specified by:

getMaxEvaluations in interface BaseOptimizer<FUNC extends MultivariateFunction>

Returns:

the maximal number of function evaluations.

getEvaluations

public int getEvaluations()

Deprecated.

Get the number of evaluations of the objective function. The number of evaluations corresponds to the last call to the optimize method. It is 0 if the method has not been called yet.

Specified by:

getEvaluations in interface BaseOptimizer<FUNC extends MultivariateFunction>

Returns:

the number of evaluations of the objective function.

getConvergenceChecker

public ConvergenceChecker<PointValuePair> getConvergenceChecker()

Deprecated.

Get the convergence checker.

Specified by:

getConvergenceChecker in interface BaseOptimizer<FUNC extends MultivariateFunction>

Returns:

the object used to check for convergence.

computeObjectiveValue

protected double computeObjectiveValue(double[] point)

Deprecated.

Compute the objective function value.

Parameters:

point - Point at which the objective function must be evaluated.

Returns:

the objective function value at the specified point.

Throws:

TooManyEvaluationsException - if the maximal number of evaluations is exceeded.

optimize

@Deprecated
public PointValuePair optimize(int maxEval,
 FUNC f,
 GoalType goalType,
 double[] startPoint)

Deprecated.

As of 3.1. Please use optimize(int,MultivariateFunction,GoalType,OptimizationData[]) instead.

Optimize an objective function.

Specified by:

optimize in interface BaseMultivariateOptimizer<FUNC extends MultivariateFunction>

Parameters:

maxEval - Maximum number of function evaluations.

f - Objective function.

goalType - Type of optimization goal: either GoalType.MAXIMIZE or GoalType.MINIMIZE.

startPoint - Start point for optimization.

Returns:

the point/value pair giving the optimal value for objective function.

optimize

public PointValuePair optimize(int maxEval,
 FUNC f,
 GoalType goalType,
 OptimizationData... optData)

Deprecated.

Optimize an objective function.

Parameters:

maxEval - Allowed number of evaluations of the objective function.

f - Objective function.

goalType - Optimization type.

optData - Optimization data. The following data will be looked for:

• InitialGuess
• SimpleBounds

Returns:

the point/value pair giving the optimal value of the objective function.

Since:

3.1

optimizeInternal

@Deprecated
protected PointValuePair optimizeInternal(int maxEval,
 FUNC f,
 GoalType goalType,
 double[] startPoint)

Deprecated.

As of 3.1. Please use optimize(int,MultivariateFunction,GoalType,OptimizationData[]) instead.

Optimize an objective function.

Parameters:

maxEval - Maximum number of function evaluations.

f - Objective function.

goalType - Type of optimization goal: either GoalType.MAXIMIZE or GoalType.MINIMIZE.

startPoint - Start point for optimization.

Returns:

the point/value pair giving the optimal value for objective function.

Throws:

DimensionMismatchException - if the start point dimension is wrong.

TooManyEvaluationsException - if the maximal number of evaluations is exceeded.

NullArgumentException - if any argument is null.

optimizeInternal

protected PointValuePair optimizeInternal(int maxEval,
 FUNC f,
 GoalType goalType,
 OptimizationData... optData)
                                   throws TooManyEvaluationsException

Deprecated.

Optimize an objective function.

Parameters:

maxEval - Allowed number of evaluations of the objective function.

f - Objective function.

goalType - Optimization type.

optData - Optimization data. The following data will be looked for:

• InitialGuess
• SimpleBounds

Returns:

the point/value pair giving the optimal value of the objective function.

Throws:

TooManyEvaluationsException - if the maximal number of evaluations is exceeded.

Since:

3.1

getGoalType

public GoalType getGoalType()

Deprecated.

Returns:

the optimization type.

getStartPoint

public double[] getStartPoint()

Deprecated.

Returns:

the initial guess.

getLowerBound

public double[] getLowerBound()

Deprecated.

Returns:

the lower bounds.

Since:

3.1

getUpperBound

public double[] getUpperBound()

Deprecated.

Returns:

the upper bounds.

Since:

3.1

doOptimize

protected abstract PointValuePair doOptimize()

Deprecated.

Perform the bulk of the optimization algorithm.

Returns:

the point/value pair giving the optimal value of the objective function.