001/*
002 * Licensed to the Apache Software Foundation (ASF) under one or more
003 * contributor license agreements.  See the NOTICE file distributed with
004 * this work for additional information regarding copyright ownership.
005 * The ASF licenses this file to You under the Apache License, Version 2.0
006 * (the "License"); you may not use this file except in compliance with
007 * the License.  You may obtain a copy of the License at
008 *
009 *      http://www.apache.org/licenses/LICENSE-2.0
010 *
011 * Unless required by applicable law or agreed to in writing, software
012 * distributed under the License is distributed on an "AS IS" BASIS,
013 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
014 * See the License for the specific language governing permissions and
015 * limitations under the License.
016 */
017
018package org.apache.commons.math3.optimization;
019
020import org.apache.commons.math3.analysis.differentiation.MultivariateDifferentiableFunction;
021import org.apache.commons.math3.random.RandomVectorGenerator;
022
023/**
024 * Special implementation of the {@link MultivariateDifferentiableOptimizer}
025 * interface adding multi-start features to an existing optimizer.
026 *
027 * This class wraps a classical optimizer to use it several times in
028 * turn with different starting points in order to avoid being trapped
029 * into a local extremum when looking for a global one.
030 *
031 * @version $Id: MultivariateDifferentiableMultiStartOptimizer.java 1422230 2012-12-15 12:11:13Z erans $
032 * @deprecated As of 3.1 (to be removed in 4.0).
033 * @since 3.1
034 */
035@Deprecated
036public class MultivariateDifferentiableMultiStartOptimizer
037    extends BaseMultivariateMultiStartOptimizer<MultivariateDifferentiableFunction>
038    implements MultivariateDifferentiableOptimizer {
039    /**
040     * Create a multi-start optimizer from a single-start optimizer.
041     *
042     * @param optimizer Single-start optimizer to wrap.
043     * @param starts Number of starts to perform (including the
044     * first one), multi-start is disabled if value is less than or
045     * equal to 1.
046     * @param generator Random vector generator to use for restarts.
047     */
048    public MultivariateDifferentiableMultiStartOptimizer(final MultivariateDifferentiableOptimizer optimizer,
049                                                         final int starts,
050                                                         final RandomVectorGenerator generator) {
051        super(optimizer, starts, generator);
052    }
053}