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 * 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
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 *      http://www.apache.org/licenses/LICENSE-2.0
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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.

/** * Implements the <a href="http://mathworld.wolfram.com/Bisection.html"> * bisection algorithm</a> for finding zeros of univariate real functions. * <p> * The function should be continuous but not necessarily smooth.</p> * */
public class BisectionSolver extends AbstractUnivariateSolver {
Default absolute accuracy.
/** Default absolute accuracy. */
private static final double DEFAULT_ABSOLUTE_ACCURACY = 1e-6;
Construct a solver with default accuracy (1e-6).
/** * Construct a solver with default accuracy (1e-6). */
public BisectionSolver() { this(DEFAULT_ABSOLUTE_ACCURACY); }
Construct a solver.
Params:
  • absoluteAccuracy – Absolute accuracy.
/** * Construct a solver. * * @param absoluteAccuracy Absolute accuracy. */
public BisectionSolver(double absoluteAccuracy) { super(absoluteAccuracy); }
Construct a solver.
Params:
  • relativeAccuracy – Relative accuracy.
  • absoluteAccuracy – Absolute accuracy.
/** * Construct a solver. * * @param relativeAccuracy Relative accuracy. * @param absoluteAccuracy Absolute accuracy. */
public BisectionSolver(double relativeAccuracy, double absoluteAccuracy) { super(relativeAccuracy, absoluteAccuracy); }
{@inheritDoc}
/** * {@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; } } } }