Java tutorial
/* * Licensed to the Apache Software Foundation (ASF) under one or more * contributor license agreements. See the NOTICE file distributed with * this work for additional information regarding copyright ownership. * The ASF licenses this file to You under the Apache License, Version 2.0 * (the "License"); you may not use this file except in compliance with * the License. You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. */ package org.apache.commons.math3.optim.nonlinear.scalar; import org.apache.commons.math3.analysis.MultivariateVectorFunction; import org.apache.commons.math3.optim.OptimizationData; /** * Gradient of the scalar function to be optimized. * * @version $Id$ * @since 3.1 */ public class ObjectiveFunctionGradient implements OptimizationData { /** Function to be optimized. */ private final MultivariateVectorFunction gradient; /** * @param g Gradient of the function to be optimized. */ public ObjectiveFunctionGradient(MultivariateVectorFunction g) { gradient = g; } /** * Gets the gradient of the function to be optimized. * * @return the objective function gradient. */ public MultivariateVectorFunction getObjectiveFunctionGradient() { return gradient; } }