Class UnivariateMultiStartOptimizer<FUNC extends UnivariateFunction>
- java.lang.Object
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- org.apache.commons.math3.optimization.univariate.UnivariateMultiStartOptimizer<FUNC>
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- Type Parameters:
FUNC- Type of the objective function to be optimized.
- All Implemented Interfaces:
BaseOptimizer<UnivariatePointValuePair>,BaseUnivariateOptimizer<FUNC>
@Deprecated public class UnivariateMultiStartOptimizer<FUNC extends UnivariateFunction> extends java.lang.Object implements BaseUnivariateOptimizer<FUNC>
Deprecated.As of 3.1 (to be removed in 4.0).Special implementation of theUnivariateOptimizerinterface adding multi-start features to an existing optimizer. This class wraps a classical optimizer to use it several times in turn with different starting points in order to avoid being trapped into a local extremum when looking for a global one.- Since:
- 3.0
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Constructor Summary
Constructors Constructor Description UnivariateMultiStartOptimizer(BaseUnivariateOptimizer<FUNC> optimizer, int starts, RandomGenerator generator)Deprecated.Create a multi-start optimizer from a single-start optimizer.
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Method Summary
All Methods Instance Methods Concrete Methods Deprecated Methods Modifier and Type Method Description ConvergenceChecker<UnivariatePointValuePair>getConvergenceChecker()Deprecated.Get the convergence checker.intgetEvaluations()Deprecated.Get the number of evaluations of the objective function.intgetMaxEvaluations()Deprecated.Get the maximal number of function evaluations.UnivariatePointValuePair[]getOptima()Deprecated.Get all the optima found during the last call tooptimize.UnivariatePointValuePairoptimize(int maxEval, FUNC f, GoalType goal, double min, double max)Deprecated.Find an optimum in the given interval.UnivariatePointValuePairoptimize(int maxEval, FUNC f, GoalType goal, double min, double max, double startValue)Deprecated.Find an optimum in the given interval, start at startValue.
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Constructor Detail
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UnivariateMultiStartOptimizer
public UnivariateMultiStartOptimizer(BaseUnivariateOptimizer<FUNC> optimizer, int starts, RandomGenerator generator)
Deprecated.Create a multi-start optimizer from a single-start optimizer.- Parameters:
optimizer- Single-start optimizer to wrap.starts- Number of starts to perform. Ifstarts == 1, theoptimizemethods will return the same solution asoptimizerwould.generator- Random generator to use for restarts.- Throws:
NullArgumentException- ifoptimizerorgeneratorisnull.NotStrictlyPositiveException- ifstarts < 1.
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Method Detail
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getConvergenceChecker
public ConvergenceChecker<UnivariatePointValuePair> getConvergenceChecker()
Deprecated.Get the convergence checker.- Specified by:
getConvergenceCheckerin interfaceBaseOptimizer<FUNC extends UnivariateFunction>- Returns:
- the object used to check for convergence.
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getMaxEvaluations
public int getMaxEvaluations()
Deprecated.Get the maximal number of function evaluations.- Specified by:
getMaxEvaluationsin interfaceBaseOptimizer<FUNC extends UnivariateFunction>- Returns:
- the maximal number of function evaluations.
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getEvaluations
public int getEvaluations()
Deprecated.Get the number of evaluations of the objective function. The number of evaluations corresponds to the last call to theoptimizemethod. It is 0 if the method has not been called yet.- Specified by:
getEvaluationsin interfaceBaseOptimizer<FUNC extends UnivariateFunction>- Returns:
- the number of evaluations of the objective function.
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getOptima
public UnivariatePointValuePair[] getOptima()
Deprecated.Get all the optima found during the last call tooptimize. The optimizer stores all the optima found during a set of restarts. Theoptimizemethod returns the best point only. This method returns all the points found at the end of each starts, including the best one already returned by theoptimizemethod.
The returned array as one element for each start as specified in the constructor. It is ordered with the results from the runs that did converge first, sorted from best to worst objective value (i.e in ascending order if minimizing and in descending order if maximizing), followed bynullelements corresponding to the runs that did not converge. This means all elements will benullif theoptimizemethod did throw an exception. This also means that if the first element is notnull, it is the best point found across all starts.- Returns:
- an array containing the optima.
- Throws:
MathIllegalStateException- ifoptimizehas not been called.
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optimize
public UnivariatePointValuePair optimize(int maxEval, FUNC f, GoalType goal, 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:
optimizein interfaceBaseUnivariateOptimizer<FUNC extends UnivariateFunction>- Parameters:
maxEval- Maximum number of function evaluations.f- Function to optimize.goal- Type of optimization goal: eitherGoalType.MAXIMIZEorGoalType.MINIMIZE.min- Lower bound for the interval.max- Upper bound for the interval.- Returns:
- a (point, value) pair where the function is optimum.
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optimize
public UnivariatePointValuePair optimize(int maxEval, FUNC f, GoalType goal, 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:
optimizein interfaceBaseUnivariateOptimizer<FUNC extends UnivariateFunction>- Parameters:
maxEval- Maximum number of function evaluations.f- Function to optimize.goal- Type of optimization goal: eitherGoalType.MAXIMIZEorGoalType.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.
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