AbstractDifferentiableOptimizer (Apache Commons Math 3.6.1 API)

java.lang.Object
- org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer<MultivariateDifferentiableFunction>
- - org.apache.commons.math3.optimization.general.AbstractDifferentiableOptimizer

All Implemented Interfaces:

BaseMultivariateOptimizer<MultivariateDifferentiableFunction>, BaseOptimizer<PointValuePair>

Deprecated.
As of 3.1 (to be removed in 4.0).
```
@Deprecated
public abstract class AbstractDifferentiableOptimizer
extends BaseAbstractMultivariateOptimizer<MultivariateDifferentiableFunction>
```
Base class for implementing optimizers for multivariate scalar differentiable functions. It contains boiler-plate code for dealing with gradient evaluation.

Since:

3.1

Field Summary
- Fields inherited from class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
  evaluations

Constructor Summary

Constructors
Modifier Constructor and Description

protected AbstractDifferentiableOptimizer(ConvergenceChecker<PointValuePair> checker)
Deprecated.

Constructors
Modifier	Constructor and Description
`protected`	`AbstractDifferentiableOptimizer(ConvergenceChecker<PointValuePair> checker)` Deprecated.

Method Summary

Methods
Modifier and Type	Method and Description
`protected double[]`	`computeObjectiveGradient(double[] evaluationPoint)` Deprecated. Compute the gradient vector.
`protected PointValuePair`	`optimizeInternal(int maxEval, MultivariateDifferentiableFunction f, GoalType goalType, double[] startPoint)` Deprecated. In 3.1. Please use `optimizeInternal(int,MultivariateDifferentiableFunction,GoalType,OptimizationData[])` instead.
`protected PointValuePair`	`optimizeInternal(int maxEval, MultivariateDifferentiableFunction f, GoalType goalType, OptimizationData... optData)` 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

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- Constructor Detail
  - AbstractDifferentiableOptimizer
```
protected AbstractDifferentiableOptimizer(ConvergenceChecker<PointValuePair> checker)
```
    Deprecated.
    
    Parameters:
    checker - Convergence checker.
- Method Detail
  - 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.
  - optimizeInternal
```
@Deprecated
protected PointValuePair optimizeInternal(int maxEval,
                                         MultivariateDifferentiableFunction f,
                                         GoalType goalType,
                                         double[] startPoint)
```
    Deprecated. In 3.1. Please use optimizeInternal(int,MultivariateDifferentiableFunction,GoalType,OptimizationData[]) instead.
    
    Optimize an objective function.
    
    Overrides:
    
    optimizeInternal in class BaseAbstractMultivariateOptimizer<MultivariateDifferentiableFunction>
    
    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.
  - optimizeInternal
```
protected PointValuePair optimizeInternal(int maxEval,
                              MultivariateDifferentiableFunction f,
                              GoalType goalType,
                              OptimizationData... optData)
```
    Deprecated.
    
    Optimize an objective function.
    Overrides:
    
    optimizeInternal in class BaseAbstractMultivariateOptimizer<MultivariateDifferentiableFunction>
    
    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.

Class AbstractDifferentiableOptimizer

Field Summary

Fields inherited from class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer

Constructor Summary

Method Summary

Methods inherited from class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer

Methods inherited from class java.lang.Object

Constructor Detail

AbstractDifferentiableOptimizer

Method Detail

computeObjectiveGradient

optimizeInternal

optimizeInternal