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The Apache Commons Math project is a library of lightweight, self-contained mathematics and statistics components addressing the most common practical problems not immediately available in the Java programming language or commons-lang.
/*
* Licensed to the Apache Software Foundation (ASF) under one or more
* contributor license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright ownership.
* The ASF licenses this file to You under the Apache License, Version 2.0
* (the "License"); you may not use this file except in compliance with
* the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.apache.commons.math3.optimization;
import org.apache.commons.math3.analysis.MultivariateFunction;
import org.apache.commons.math3.random.RandomVectorGenerator;
/**
* 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
implements MultivariateOptimizer {
/**
* 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);
}
}