Class AbstractScalarDifferentiableOptimizer
java.lang.Object
org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer<DifferentiableMultivariateFunction>
org.apache.commons.math3.optimization.general.AbstractScalarDifferentiableOptimizer
- All Implemented Interfaces:
BaseMultivariateOptimizer<DifferentiableMultivariateFunction>,BaseOptimizer<PointValuePair>,DifferentiableMultivariateOptimizer
- Direct Known Subclasses:
NonLinearConjugateGradientOptimizer
@Deprecated
public abstract class AbstractScalarDifferentiableOptimizer
extends BaseAbstractMultivariateOptimizer<DifferentiableMultivariateFunction>
implements DifferentiableMultivariateOptimizer
Deprecated.
As of 3.1 (to be removed in 4.0).
Base class for implementing optimizers for multivariate scalar
differentiable functions.
It contains boiler-plate code for dealing with gradient evaluation.
- Since:
- 2.0
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Field Summary
Fields inherited from class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
evaluations -
Constructor Summary
ConstructorsModifierConstructorDescriptionprotectedDeprecated.protectedDeprecated. -
Method Summary
Modifier and TypeMethodDescriptionprotected double[]computeObjectiveGradient(double[] evaluationPoint) Deprecated.Compute the gradient vector.optimize(int maxEval, MultivariateDifferentiableFunction f, GoalType goalType, double[] startPoint) Deprecated.Optimize an objective function.protected PointValuePairoptimizeInternal(int maxEval, DifferentiableMultivariateFunction f, GoalType goalType, double[] startPoint) Deprecated.Optimize an objective function.Methods inherited from class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
computeObjectiveValue, doOptimize, getConvergenceChecker, getEvaluations, getGoalType, getLowerBound, getMaxEvaluations, getStartPoint, getUpperBound, optimize, optimize, optimizeInternalMethods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, waitMethods inherited from interface org.apache.commons.math3.optimization.BaseMultivariateOptimizer
optimizeMethods inherited from interface org.apache.commons.math3.optimization.BaseOptimizer
getConvergenceChecker, getEvaluations, getMaxEvaluations
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Constructor Details
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AbstractScalarDifferentiableOptimizer
Deprecated.Simple constructor with default settings. The convergence check is set to aSimpleValueChecker. -
AbstractScalarDifferentiableOptimizer
Deprecated.- Parameters:
checker- Convergence checker.
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Method Details
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computeObjectiveGradient
protected double[] computeObjectiveGradient(double[] evaluationPoint) Deprecated.Compute the gradient vector.- Parameters:
evaluationPoint- Point at which the gradient must be evaluated.- Returns:
- the gradient at the specified point.
- Throws:
TooManyEvaluationsException- if the allowed number of evaluations is exceeded.
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optimizeInternal
protected PointValuePair optimizeInternal(int maxEval, DifferentiableMultivariateFunction f, GoalType goalType, double[] startPoint) Deprecated.Optimize an objective function.- Overrides:
optimizeInternalin classBaseAbstractMultivariateOptimizer<DifferentiableMultivariateFunction>- Parameters:
maxEval- Maximum number of function evaluations.f- Objective function.goalType- Type of optimization goal: eitherGoalType.MAXIMIZEorGoalType.MINIMIZE.startPoint- Start point for optimization.- Returns:
- the point/value pair giving the optimal value for objective function.
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optimize
public PointValuePair optimize(int maxEval, MultivariateDifferentiableFunction f, GoalType goalType, double[] startPoint) Deprecated.Optimize an objective function.- Parameters:
maxEval- Maximum number of function evaluations.f- Objective function.goalType- Type of optimization goal: eitherGoalType.MAXIMIZEorGoalType.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 isnull.
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