@Deprecated public class MultivariateDifferentiableMultiStartOptimizer extends BaseMultivariateMultiStartOptimizer<MultivariateDifferentiableFunction> implements MultivariateDifferentiableOptimizer
MultivariateDifferentiableOptimizer
interface 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.| Constructor and Description |
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MultivariateDifferentiableMultiStartOptimizer(MultivariateDifferentiableOptimizer optimizer,
int starts,
RandomVectorGenerator generator)
Deprecated.
Create a multi-start optimizer from a single-start optimizer.
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getConvergenceChecker, getEvaluations, getMaxEvaluations, getOptima, optimizeclone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, waitoptimizegetConvergenceChecker, getEvaluations, getMaxEvaluationspublic MultivariateDifferentiableMultiStartOptimizer(MultivariateDifferentiableOptimizer optimizer, int starts, RandomVectorGenerator generator)
optimizer - Single-start optimizer to wrap.starts - Number of starts to perform (including the
first one), multi-start is disabled if value is less than or
equal to 1.generator - Random vector generator to use for restarts.Copyright © 2003–2016 The Apache Software Foundation. All rights reserved.