1 /*
2 * Licensed to the Apache Software Foundation (ASF) under one or more
3 * contributor license agreements. See the NOTICE file distributed with
4 * this work for additional information regarding copyright ownership.
5 * The ASF licenses this file to You under the Apache License, Version 2.0
6 * (the "License"); you may not use this file except in compliance with
7 * the License. You may obtain a copy of the License at
8 *
9 * http://www.apache.org/licenses/LICENSE-2.0
10 *
11 * Unless required by applicable law or agreed to in writing, software
12 * distributed under the License is distributed on an "AS IS" BASIS,
13 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
14 * See the License for the specific language governing permissions and
15 * limitations under the License.
16 */
17 package org.apache.commons.math4.legacy.optim.nonlinear.scalar;
18
19 import org.apache.commons.math4.legacy.analysis.MultivariateVectorFunction;
20 import org.apache.commons.math4.legacy.optim.OptimizationData;
21
22 /**
23 * Gradient of the scalar function to be optimized.
24 *
25 * @since 3.1
26 */
27 public class ObjectiveFunctionGradient implements OptimizationData {
28 /** Function to be optimized. */
29 private final MultivariateVectorFunction gradient;
30
31 /**
32 * @param g Gradient of the function to be optimized.
33 */
34 public ObjectiveFunctionGradient(MultivariateVectorFunction g) {
35 gradient = g;
36 }
37
38 /**
39 * Gets the gradient of the function to be optimized.
40 *
41 * @return the objective function gradient.
42 */
43 public MultivariateVectorFunction getObjectiveFunctionGradient() {
44 return gradient;
45 }
46 }