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    package org.apache.commons.math3.optim.nonlinear.scalar;
018    
019    import org.apache.commons.math3.analysis.MultivariateVectorFunction;
020    import org.apache.commons.math3.optim.OptimizationData;
021    
022    /**
023     * Gradient of the scalar function to be optimized.
024     *
025     * @version $Id$
026     * @since 3.1
027     */
028    public class ObjectiveFunctionGradient implements OptimizationData {
029        /** Function to be optimized. */
030        private final MultivariateVectorFunction gradient;
031    
032        /**
033         * @param g Gradient of the function to be optimized.
034         */
035        public ObjectiveFunctionGradient(MultivariateVectorFunction g) {
036            gradient = g;
037        }
038    
039        /**
040         * Gets the gradient of the function to be optimized.
041         *
042         * @return the objective function gradient.
043         */
044        public MultivariateVectorFunction getObjectiveFunctionGradient() {
045            return gradient;
046        }
047    }