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/*
* 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.math4.legacy.optim.nonlinear.scalar;
import org.apache.commons.math4.legacy.analysis.MultivariateVectorFunction;
import org.apache.commons.math4.legacy.optim.OptimizationData;
/**
* Gradient of the scalar function to be optimized.
*
* @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;
}
}