@Deprecated public class DifferentiableMultivariateVectorMultiStartOptimizer extends BaseMultivariateVectorMultiStartOptimizer<DifferentiableMultivariateVectorFunction> implements DifferentiableMultivariateVectorOptimizer
DifferentiableMultivariateVectorOptimizer
 interface addind 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 | 
|---|
| DifferentiableMultivariateVectorMultiStartOptimizer(DifferentiableMultivariateVectorOptimizer optimizer,
                                                   int starts,
                                                   RandomVectorGenerator generator)Deprecated.  Create a multi-start optimizer from a single-start optimizer. | 
getConvergenceChecker, getEvaluations, getMaxEvaluations, getOptima, optimizeclone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, waitoptimizegetConvergenceChecker, getEvaluations, getMaxEvaluationspublic DifferentiableMultivariateVectorMultiStartOptimizer(DifferentiableMultivariateVectorOptimizer 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.