/*
* 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.math.analysis;
/**
* Extension of {@link MultivariateRealFunction} representing a differentiable
* multivariate real function.
* @version $Id: DifferentiableMultivariateRealFunction.java 1131229 2011-06-03 20:49:25Z luc $
* @since 2.0
*/
public interface DifferentiableMultivariateRealFunction extends MultivariateRealFunction {
/**
* Returns the partial derivative of the function with respect to a point coordinate.
* <p>
* The partial derivative is defined with respect to point coordinate
* x<sub>k</sub>. If the partial derivatives with respect to all coordinates are
* needed, it may be more efficient to use the {@link #gradient()} method which will
* compute them all at once.
* </p>
* @param k index of the coordinate with respect to which the partial
* derivative is computed
* @return the partial derivative function with respect to k<sup>th</sup> point coordinate
*/
MultivariateRealFunction partialDerivative(int k);
/**
* Returns the gradient function.
* <p>If only one partial derivative with respect to a specific coordinate is
* needed, it may be more efficient to use the {@link #partialDerivative(int)} method
* which will compute only the specified component.</p>
* @return the gradient function
*/
MultivariateVectorialFunction gradient();
}