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package org.apache.commons.math3.optimization;

import org.apache.commons.math3.analysis.MultivariateFunction;
import org.apache.commons.math3.random.RandomVectorGenerator;

Special implementation of the MultivariateOptimizer 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.
Deprecated:As of 3.1 (to be removed in 4.0).
Since:2.0
/** * Special implementation of the {@link MultivariateOptimizer} 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. * * @deprecated As of 3.1 (to be removed in 4.0). * @since 2.0 */
@Deprecated public class MultivariateMultiStartOptimizer extends BaseMultivariateMultiStartOptimizer<MultivariateFunction> implements MultivariateOptimizer {
Create a multi-start optimizer from a single-start optimizer.
Params:
  • 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.
/** * Create a multi-start optimizer from a single-start optimizer. * * @param optimizer Single-start optimizer to wrap. * @param starts Number of starts to perform (including the * first one), multi-start is disabled if value is less than or * equal to 1. * @param generator Random vector generator to use for restarts. */
public MultivariateMultiStartOptimizer(final MultivariateOptimizer optimizer, final int starts, final RandomVectorGenerator generator) { super(optimizer, starts, generator); } }