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.analysis; /** * An interface representing a real function that depends on one independent * variable plus some extra parameters. * * @since 3.0 * @version $Id: ParametricUnivariateFunction.java 1364387 2012-07-22 18:14:11Z tn $ */ public interface ParametricUnivariateFunction { /** * Compute the value of the function. * * @param x Point for which the function value should be computed. * @param parameters Function parameters. * @return the value. */ double value(double x, double... parameters); /** * Compute the gradient of the function with respect to its parameters. * * @param x Point for which the function value should be computed. * @param parameters Function parameters. * @return the value. */ double[] gradient(double x, double... parameters); }