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The Apache Commons Math project is a library of lightweight, self-contained mathematics and statistics components addressing the most common practical problems not immediately available in the Java programming language or commons-lang.

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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.math3.analysis.solvers;

import org.apache.commons.math3.util.FastMath;
import org.apache.commons.math3.exception.TooManyEvaluationsException;

/**
 * Implements the 
 * bisection algorithm for finding zeros of univariate real functions.
 * 

* The function should be continuous but not necessarily smooth.

* */ public class BisectionSolver extends AbstractUnivariateSolver { /** Default absolute accuracy. */ private static final double DEFAULT_ABSOLUTE_ACCURACY = 1e-6; /** * Construct a solver with default accuracy (1e-6). */ public BisectionSolver() { this(DEFAULT_ABSOLUTE_ACCURACY); } /** * Construct a solver. * * @param absoluteAccuracy Absolute accuracy. */ public BisectionSolver(double absoluteAccuracy) { super(absoluteAccuracy); } /** * Construct a solver. * * @param relativeAccuracy Relative accuracy. * @param absoluteAccuracy Absolute accuracy. */ public BisectionSolver(double relativeAccuracy, double absoluteAccuracy) { super(relativeAccuracy, absoluteAccuracy); } /** * {@inheritDoc} */ @Override protected double doSolve() throws TooManyEvaluationsException { double min = getMin(); double max = getMax(); verifyInterval(min, max); final double absoluteAccuracy = getAbsoluteAccuracy(); double m; double fm; double fmin; while (true) { m = UnivariateSolverUtils.midpoint(min, max); fmin = computeObjectiveValue(min); fm = computeObjectiveValue(m); if (fm * fmin > 0) { // max and m bracket the root. min = m; } else { // min and m bracket the root. max = m; } if (FastMath.abs(max - min) <= absoluteAccuracy) { m = UnivariateSolverUtils.midpoint(min, max); return m; } } } }




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