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    
018    package org.apache.commons.math3.optimization;
019    
020    import org.apache.commons.math3.analysis.differentiation.MultivariateDifferentiableFunction;
021    import 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
036    public 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    }