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📄 secantsolver.java

📁 Apache的common math数学软件包
💻 JAVA
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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.math.analysis;import java.io.Serializable;import org.apache.commons.math.FunctionEvaluationException;import org.apache.commons.math.MaxIterationsExceededException;/** * Implements a modified version of the  * <a href="http://mathworld.wolfram.com/SecantMethod.html">secant method</a> * for approximating a zero of a real univariate function.   * <p> * The algorithm is modified to maintain bracketing of a root by successive * approximations. Because of forced bracketing, convergence may be slower than * the unrestricted secant algorithm. However, this implementation should in * general outperform the  * <a href="http://mathworld.wolfram.com/MethodofFalsePosition.html"> * regula falsi method.</a></p> * <p> * The function is assumed to be continuous but not necessarily smooth.</p> *   * @version $Revision: 615734 $ $Date: 2008-01-27 23:10:03 -0700 (Sun, 27 Jan 2008) $ */public class SecantSolver extends UnivariateRealSolverImpl implements Serializable {        /** Serializable version identifier */    private static final long serialVersionUID = 1984971194738974867L;    /**     * Construct a solver for the given function.     * @param f function to solve.     */    public SecantSolver(UnivariateRealFunction f) {        super(f, 100, 1E-6);    }    /**     * Find a zero in the given interval.     *      * @param min the lower bound for the interval     * @param max the upper bound for the interval     * @param initial the start value to use (ignored)     * @return the value where the function is zero     * @throws MaxIterationsExceededException if the maximum iteration count is exceeded     * @throws FunctionEvaluationException if an error occurs evaluating the     * function      * @throws IllegalArgumentException if min is not less than max or the     * signs of the values of the function at the endpoints are not opposites     */    public double solve(double min, double max, double initial)        throws MaxIterationsExceededException, FunctionEvaluationException {                    return solve(min, max);    }        /**     * Find a zero in the given interval.     * @param min the lower bound for the interval.     * @param max the upper bound for the interval.     * @return the value where the function is zero     * @throws MaxIterationsExceededException  if the maximum iteration count is exceeded     * @throws FunctionEvaluationException if an error occurs evaluating the     * function      * @throws IllegalArgumentException if min is not less than max or the     * signs of the values of the function at the endpoints are not opposites     */    public double solve(double min, double max) throws MaxIterationsExceededException,         FunctionEvaluationException {                clearResult();        verifyInterval(min, max);                // Index 0 is the old approximation for the root.        // Index 1 is the last calculated approximation  for the root.        // Index 2 is a bracket for the root with respect to x0.        // OldDelta is the length of the bracketing interval of the last        // iteration.        double x0 = min;        double x1 = max;        double y0 = f.value(x0);        double y1 = f.value(x1);                // Verify bracketing        if (y0 * y1 >= 0) {            throw new IllegalArgumentException            ("Function values at endpoints do not have different signs." +                    "  Endpoints: [" + min + "," + max + "]" +                     "  Values: [" + y0 + "," + y1 + "]");               }                double x2 = x0;        double y2 = y0;        double oldDelta = x2 - x1;        int i = 0;        while (i < maximalIterationCount) {            if (Math.abs(y2) < Math.abs(y1)) {                x0 = x1;                x1 = x2;                x2 = x0;                y0 = y1;                y1 = y2;                y2 = y0;            }            if (Math.abs(y1) <= functionValueAccuracy) {                setResult(x1, i);                return result;            }            if (Math.abs(oldDelta) <                Math.max(relativeAccuracy * Math.abs(x1), absoluteAccuracy)) {                setResult(x1, i);                return result;            }            double delta;            if (Math.abs(y1) > Math.abs(y0)) {                // Function value increased in last iteration. Force bisection.                delta = 0.5 * oldDelta;            } else {                delta = (x0 - x1) / (1 - y0 / y1);                if (delta / oldDelta > 1) {                    // New approximation falls outside bracket.                    // Fall back to bisection.                    delta = 0.5 * oldDelta;                }            }            x0 = x1;            y0 = y1;            x1 = x1 + delta;            y1 = f.value(x1);            if ((y1 > 0) == (y2 > 0)) {                // New bracket is (x0,x1).                                    x2 = x0;                y2 = y0;            }            oldDelta = x2 - x1;            i++;        }        throw new MaxIterationsExceededException(maximalIterationCount);    }}

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