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Java example source code file (MultivariateMultiStartOptimizer.java)

This example Java source code file (MultivariateMultiStartOptimizer.java) is included in the alvinalexander.com "Java Source Code Warehouse" project. The intent of this project is to help you "Learn Java by Example" TM.

Learn more about this Java project at its project page.

Java - Java tags/keywords

basemultivariatemultistartoptimizer, deprecated, multivariatemultistartoptimizer, multivariateoptimizer, randomvectorgenerator

The MultivariateMultiStartOptimizer.java Java example source code

/*
 * 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<MultivariateFunction>
    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);
    }
}

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