    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    }