org.apache.commons.math3.optim.univariate

Class UnivariateOptimizer

java.lang.Object

org.apache.commons.math3.optim.BaseOptimizer<UnivariatePointValuePair>

org.apache.commons.math3.optim.univariate.UnivariateOptimizer

Direct Known Subclasses:

BrentOptimizer, MultiStartUnivariateOptimizer

public abstract class UnivariateOptimizer
extends BaseOptimizer<UnivariatePointValuePair>

Base class for a univariate scalar function optimizer.

Since:

3.1

Method Summary

Modifier and Type	Method and Description
GoalType	getGoalType()
double	getMax()
double	getMin()
double	getStartValue()
UnivariatePointValuePair	optimize(OptimizationData... optData) Stores data and performs the optimization.

Methods inherited from class org.apache.commons.math3.optim.BaseOptimizer

getConvergenceChecker, getEvaluations, getIterations, getMaxEvaluations, getMaxIterations, optimize

Methods inherited from class java.lang.Object

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

Method Detail

optimize

public UnivariatePointValuePair optimize(OptimizationData... optData)
                                  throws TooManyEvaluationsException

Stores data and performs the optimization.

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.

Overrides:

optimize in class BaseOptimizer<UnivariatePointValuePair>

Parameters:

optData - Optimization data. In addition to those documented in BaseOptimizer, this method will register the following data:

• GoalType
• SearchInterval
• UnivariateObjectiveFunction

Returns:

a point/value pair that satisfies the convergence criteria.

Throws:

TooManyEvaluationsException - if the maximal number of evaluations is exceeded.

getGoalType

public GoalType getGoalType()

Returns:

the optimization type.

getStartValue

public double getStartValue()

Returns:

the initial guess.

getMin

public double getMin()

Returns:

the lower bounds.

getMax

public double getMax()

Returns:

the upper bounds.