public class MultiStartUnivariateOptimizer extends UnivariateOptimizer
UnivariateOptimizer interface
adding multi-start features to an existing optimizer.
evaluations, iterations| Constructor and Description |
|---|
MultiStartUnivariateOptimizer(UnivariateOptimizer optimizer,
int starts,
RandomGenerator generator)
Create a multi-start optimizer from a single-start optimizer.
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| Modifier and Type | Method and Description |
|---|---|
protected UnivariatePointValuePair |
doOptimize()
Performs the bulk of the optimization algorithm.
|
int |
getEvaluations()
Gets the number of evaluations of the objective function.
|
UnivariatePointValuePair[] |
getOptima()
Gets all the optima found during the last call to
optimize. |
UnivariatePointValuePair |
optimize(OptimizationData... optData)
Stores data and performs the optimization.
|
computeObjectiveValue, getGoalType, getMax, getMin, getStartValue, parseOptimizationDatagetConvergenceChecker, getIterations, getMaxEvaluations, getMaxIterations, incrementEvaluationCount, incrementIterationCount, optimizepublic MultiStartUnivariateOptimizer(UnivariateOptimizer optimizer, int starts, RandomGenerator generator)
optimizer - Single-start optimizer to wrap.starts - Number of starts to perform. If starts == 1,
the optimize methods will return the same solution as
optimizer would.generator - Random generator to use for restarts.NotStrictlyPositiveException - if starts < 1.public int getEvaluations()
optimize method. It is 0 if the method has not been
called yet.getEvaluations in class BaseOptimizer<UnivariatePointValuePair>public UnivariatePointValuePair[] getOptima()
optimize.
The optimizer stores all the optima found during a set of
restarts. The optimize method 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 the optimize method.
null elements
corresponding to the runs that did not converge. This means all
elements will be null if the optimize method did throw
an exception.
This also means that if the first element is not null, it is
the best point found across all starts.MathIllegalStateException - if optimize has not been called.public UnivariatePointValuePair optimize(OptimizationData... optData)
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.
optimize in class UnivariateOptimizeroptData - Optimization data. In addition to those documented in
BaseOptimizer, this method will register the following data:
MathIllegalStateException - if optData does not contain an
instance of MaxEval or SearchInterval.protected UnivariatePointValuePair doOptimize()
doOptimize in class BaseOptimizer<UnivariatePointValuePair>Copyright © 2003–2016 The Apache Software Foundation. All rights reserved.