Class BaseAbstractUnivariateOptimizer

java.lang.Object

org.apache.commons.math3.optimization.univariate.BaseAbstractUnivariateOptimizer

All Implemented Interfaces:

BaseOptimizer<UnivariatePointValuePair>, BaseUnivariateOptimizer<UnivariateFunction>, UnivariateOptimizer

Direct Known Subclasses:

BrentOptimizer

@Deprecated
public abstract class BaseAbstractUnivariateOptimizer
extends Object
implements UnivariateOptimizer

Deprecated.

As of 3.1 (to be removed in 4.0).

Provide a default implementation for several functions useful to generic optimizers.

Since:

2.0

Constructor Summary

Constructors

Modifier	Constructor	Description
protected	BaseAbstractUnivariateOptimizer(ConvergenceChecker<UnivariatePointValuePair> checker)	Deprecated.

Method Summary

Modifier and Type	Method	Description
protected double	computeObjectiveValue(double point)	Deprecated. Compute the objective function value.
protected abstract UnivariatePointValuePair	doOptimize()	Deprecated. Method for implementing actual optimization algorithms in derived classes.
ConvergenceChecker<UnivariatePointValuePair>	getConvergenceChecker()	Deprecated. Get the convergence checker.
int	getEvaluations()	Deprecated. Get the number of evaluations of the objective function.
GoalType	getGoalType()	Deprecated.
double	getMax()	Deprecated.
int	getMaxEvaluations()	Deprecated. Get the maximal number of function evaluations.
double	getMin()	Deprecated.
double	getStartValue()	Deprecated.
UnivariatePointValuePair	optimize(int maxEval, UnivariateFunction f, GoalType goalType, double min, double max)	Deprecated. Find an optimum in the given interval.
UnivariatePointValuePair	optimize(int maxEval, UnivariateFunction f, GoalType goalType, double min, double max, double startValue)	Deprecated. Find an optimum in the given interval, start at startValue.

Methods inherited from class Object

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

Constructor Details

BaseAbstractUnivariateOptimizer

protected BaseAbstractUnivariateOptimizer(ConvergenceChecker<UnivariatePointValuePair> checker)

Deprecated.

Parameters:

checker - Convergence checking procedure.

Method Details

getMaxEvaluations

public int getMaxEvaluations()

Deprecated.

Get the maximal number of function evaluations.

Specified by:

getMaxEvaluations in interface BaseOptimizer<UnivariatePointValuePair>

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<UnivariatePointValuePair>

Returns:

the number of evaluations of the objective function.

getGoalType

public GoalType getGoalType()

Deprecated.

Returns:

the optimization type.

getMin

public double getMin()

Deprecated.

Returns:

the lower end of the search interval.

getMax

public double getMax()

Deprecated.

Returns:

the higher end of the search interval.

getStartValue

public double getStartValue()

Deprecated.

Returns:

the initial guess.

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 specified point.

Throws:

TooManyEvaluationsException - if the maximal number of evaluations is exceeded.

optimize

public UnivariatePointValuePair optimize(int maxEval,
 UnivariateFunction f,
 GoalType goalType,
 double min,
 double max,
 double startValue)

Deprecated.

Find an optimum in the given interval, start at startValue. An optimizer may require that the interval brackets a single optimum.

Specified by:

optimize in interface BaseUnivariateOptimizer<UnivariateFunction>

Parameters:

maxEval - Maximum number of function evaluations.

f - Function to optimize.

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

min - Lower bound for the interval.

max - Upper bound for the interval.

startValue - Start value to use.

Returns:

a (point, value) pair where the function is optimum.

optimize

public UnivariatePointValuePair optimize(int maxEval,
 UnivariateFunction f,
 GoalType goalType,
 double min,
 double max)

Deprecated.

Find an optimum in the given interval. An optimizer may require that the interval brackets a single optimum.

Specified by:

optimize in interface BaseUnivariateOptimizer<UnivariateFunction>

Parameters:

maxEval - Maximum number of function evaluations.

f - Function to optimize.

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

min - Lower bound for the interval.

max - Upper bound for the interval.

Returns:

a (point, value) pair where the function is optimum.

getConvergenceChecker

public ConvergenceChecker<UnivariatePointValuePair> getConvergenceChecker()

Deprecated.

Get the convergence checker.

Specified by:

getConvergenceChecker in interface BaseOptimizer<UnivariatePointValuePair>

Returns:

the object used to check for convergence.

doOptimize

protected abstract UnivariatePointValuePair doOptimize()

Deprecated.

Method for implementing actual optimization algorithms in derived classes.

Returns:

the optimum and its corresponding function value.

Throws:

TooManyEvaluationsException - if the maximal number of evaluations is exceeded.