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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.complex.Complex;
import org.apache.commons.math3.complex.ComplexUtils;
import org.apache.commons.math3.analysis.polynomials.PolynomialFunction;
import org.apache.commons.math3.exception.NoBracketingException;
import org.apache.commons.math3.exception.NullArgumentException;
import org.apache.commons.math3.exception.NoDataException;
import org.apache.commons.math3.exception.TooManyEvaluationsException;
import org.apache.commons.math3.exception.NumberIsTooLargeException;
import org.apache.commons.math3.exception.util.LocalizedFormats;
import org.apache.commons.math3.util.FastMath;

/**
 * Implements the 
 * Laguerre's Method for root finding of real coefficient polynomials.
 * For reference, see
 * 
 *  A First Course in Numerical Analysis
 *  ISBN 048641454X, chapter 8.
 * 
 * Laguerre's method is global in the sense that it can start with any initial
 * approximation and be able to solve all roots from that point.
 * The algorithm requires a bracketing condition.
 *
 * @version $Id: LaguerreSolver.java 1422195 2012-12-15 06:45:18Z psteitz $
 * @since 1.2
 */
public class LaguerreSolver extends AbstractPolynomialSolver {
    /** Default absolute accuracy. */
    private static final double DEFAULT_ABSOLUTE_ACCURACY = 1e-6;
    /** Complex solver. */
    private final ComplexSolver complexSolver = new ComplexSolver();

    /**
     * Construct a solver with default accuracy (1e-6).
     */
    public LaguerreSolver() {
        this(DEFAULT_ABSOLUTE_ACCURACY);
    }
    /**
     * Construct a solver.
     *
     * @param absoluteAccuracy Absolute accuracy.
     */
    public LaguerreSolver(double absoluteAccuracy) {
        super(absoluteAccuracy);
    }
    /**
     * Construct a solver.
     *
     * @param relativeAccuracy Relative accuracy.
     * @param absoluteAccuracy Absolute accuracy.
     */
    public LaguerreSolver(double relativeAccuracy,
                          double absoluteAccuracy) {
        super(relativeAccuracy, absoluteAccuracy);
    }
    /**
     * Construct a solver.
     *
     * @param relativeAccuracy Relative accuracy.
     * @param absoluteAccuracy Absolute accuracy.
     * @param functionValueAccuracy Function value accuracy.
     */
    public LaguerreSolver(double relativeAccuracy,
                          double absoluteAccuracy,
                          double functionValueAccuracy) {
        super(relativeAccuracy, absoluteAccuracy, functionValueAccuracy);
    }

    /**
     * {@inheritDoc}
     */
    @Override
    public double doSolve()
        throws TooManyEvaluationsException,
               NumberIsTooLargeException,
               NoBracketingException {
        final double min = getMin();
        final double max = getMax();
        final double initial = getStartValue();
        final double functionValueAccuracy = getFunctionValueAccuracy();

        verifySequence(min, initial, max);

        // Return the initial guess if it is good enough.
        final double yInitial = computeObjectiveValue(initial);
        if (FastMath.abs(yInitial) <= functionValueAccuracy) {
            return initial;
        }

        // Return the first endpoint if it is good enough.
        final double yMin = computeObjectiveValue(min);
        if (FastMath.abs(yMin) <= functionValueAccuracy) {
            return min;
        }

        // Reduce interval if min and initial bracket the root.
        if (yInitial * yMin < 0) {
            return laguerre(min, initial, yMin, yInitial);
        }

        // Return the second endpoint if it is good enough.
        final double yMax = computeObjectiveValue(max);
        if (FastMath.abs(yMax) <= functionValueAccuracy) {
            return max;
        }

        // Reduce interval if initial and max bracket the root.
        if (yInitial * yMax < 0) {
            return laguerre(initial, max, yInitial, yMax);
        }

        throw new NoBracketingException(min, max, yMin, yMax);
    }

    /**
     * Find a real root in the given interval.
     *
     * Despite the bracketing condition, the root returned by
     * {@link LaguerreSolver.ComplexSolver#solve(Complex[],Complex)} may
     * not be a real zero inside {@code [min, max]}.
     * For example, p(x) = x3 + 1,
     * with {@code min = -2}, {@code max = 2}, {@code initial = 0}.
     * When it occurs, this code calls
     * {@link LaguerreSolver.ComplexSolver#solveAll(Complex[],Complex)}
     * in order to obtain all roots and picks up one real root.
     *
     * @param lo Lower bound of the search interval.
     * @param hi Higher bound of the search interval.
     * @param fLo Function value at the lower bound of the search interval.
     * @param fHi Function value at the higher bound of the search interval.
     * @return the point at which the function value is zero.
     * @deprecated This method should not be part of the public API: It will
     * be made private in version 4.0.
     */
    @Deprecated
    public double laguerre(double lo, double hi,
                           double fLo, double fHi) {
        final Complex c[] = ComplexUtils.convertToComplex(getCoefficients());

        final Complex initial = new Complex(0.5 * (lo + hi), 0);
        final Complex z = complexSolver.solve(c, initial);
        if (complexSolver.isRoot(lo, hi, z)) {
            return z.getReal();
        } else {
            double r = Double.NaN;
            // Solve all roots and select the one we are seeking.
            Complex[] root = complexSolver.solveAll(c, initial);
            for (int i = 0; i < root.length; i++) {
                if (complexSolver.isRoot(lo, hi, root[i])) {
                    r = root[i].getReal();
                    break;
                }
            }
            return r;
        }
    }

    /**
     * Find all complex roots for the polynomial with the given
     * coefficients, starting from the given initial value.
     * 
* Note: This method is not part of the API of {@link BaseUnivariateSolver}. * * @param coefficients Polynomial coefficients. * @param initial Start value. * @return the point at which the function value is zero. * @throws org.apache.commons.math3.exception.TooManyEvaluationsException * if the maximum number of evaluations is exceeded. * @throws NullArgumentException if the {@code coefficients} is * {@code null}. * @throws NoDataException if the {@code coefficients} array is empty. * @since 3.1 */ public Complex[] solveAllComplex(double[] coefficients, double initial) throws NullArgumentException, NoDataException, TooManyEvaluationsException { setup(Integer.MAX_VALUE, new PolynomialFunction(coefficients), Double.NEGATIVE_INFINITY, Double.POSITIVE_INFINITY, initial); return complexSolver.solveAll(ComplexUtils.convertToComplex(coefficients), new Complex(initial, 0d)); } /** * Find a complex root for the polynomial with the given coefficients, * starting from the given initial value. *
* Note: This method is not part of the API of {@link BaseUnivariateSolver}. * * @param coefficients Polynomial coefficients. * @param initial Start value. * @return the point at which the function value is zero. * @throws org.apache.commons.math3.exception.TooManyEvaluationsException * if the maximum number of evaluations is exceeded. * @throws NullArgumentException if the {@code coefficients} is * {@code null}. * @throws NoDataException if the {@code coefficients} array is empty. * @since 3.1 */ public Complex solveComplex(double[] coefficients, double initial) throws NullArgumentException, NoDataException, TooManyEvaluationsException { setup(Integer.MAX_VALUE, new PolynomialFunction(coefficients), Double.NEGATIVE_INFINITY, Double.POSITIVE_INFINITY, initial); return complexSolver.solve(ComplexUtils.convertToComplex(coefficients), new Complex(initial, 0d)); } /** * Class for searching all (complex) roots. */ private class ComplexSolver { /** * Check whether the given complex root is actually a real zero * in the given interval, within the solver tolerance level. * * @param min Lower bound for the interval. * @param max Upper bound for the interval. * @param z Complex root. * @return {@code true} if z is a real zero. */ public boolean isRoot(double min, double max, Complex z) { if (isSequence(min, z.getReal(), max)) { double tolerance = FastMath.max(getRelativeAccuracy() * z.abs(), getAbsoluteAccuracy()); return (FastMath.abs(z.getImaginary()) <= tolerance) || (z.abs() <= getFunctionValueAccuracy()); } return false; } /** * Find all complex roots for the polynomial with the given * coefficients, starting from the given initial value. * * @param coefficients Polynomial coefficients. * @param initial Start value. * @return the point at which the function value is zero. * @throws org.apache.commons.math3.exception.TooManyEvaluationsException * if the maximum number of evaluations is exceeded. * @throws NullArgumentException if the {@code coefficients} is * {@code null}. * @throws NoDataException if the {@code coefficients} array is empty. */ public Complex[] solveAll(Complex coefficients[], Complex initial) throws NullArgumentException, NoDataException, TooManyEvaluationsException { if (coefficients == null) { throw new NullArgumentException(); } final int n = coefficients.length - 1; if (n == 0) { throw new NoDataException(LocalizedFormats.POLYNOMIAL); } // Coefficients for deflated polynomial. final Complex c[] = new Complex[n + 1]; for (int i = 0; i <= n; i++) { c[i] = coefficients[i]; } // Solve individual roots successively. final Complex root[] = new Complex[n]; for (int i = 0; i < n; i++) { final Complex subarray[] = new Complex[n - i + 1]; System.arraycopy(c, 0, subarray, 0, subarray.length); root[i] = solve(subarray, initial); // Polynomial deflation using synthetic division. Complex newc = c[n - i]; Complex oldc = null; for (int j = n - i - 1; j >= 0; j--) { oldc = c[j]; c[j] = newc; newc = oldc.add(newc.multiply(root[i])); } } return root; } /** * Find a complex root for the polynomial with the given coefficients, * starting from the given initial value. * * @param coefficients Polynomial coefficients. * @param initial Start value. * @return the point at which the function value is zero. * @throws org.apache.commons.math3.exception.TooManyEvaluationsException * if the maximum number of evaluations is exceeded. * @throws NullArgumentException if the {@code coefficients} is * {@code null}. * @throws NoDataException if the {@code coefficients} array is empty. */ public Complex solve(Complex coefficients[], Complex initial) throws NullArgumentException, NoDataException, TooManyEvaluationsException { if (coefficients == null) { throw new NullArgumentException(); } final int n = coefficients.length - 1; if (n == 0) { throw new NoDataException(LocalizedFormats.POLYNOMIAL); } final double absoluteAccuracy = getAbsoluteAccuracy(); final double relativeAccuracy = getRelativeAccuracy(); final double functionValueAccuracy = getFunctionValueAccuracy(); final Complex nC = new Complex(n, 0); final Complex n1C = new Complex(n - 1, 0); Complex z = initial; Complex oldz = new Complex(Double.POSITIVE_INFINITY, Double.POSITIVE_INFINITY); while (true) { // Compute pv (polynomial value), dv (derivative value), and // d2v (second derivative value) simultaneously. Complex pv = coefficients[n]; Complex dv = Complex.ZERO; Complex d2v = Complex.ZERO; for (int j = n-1; j >= 0; j--) { d2v = dv.add(z.multiply(d2v)); dv = pv.add(z.multiply(dv)); pv = coefficients[j].add(z.multiply(pv)); } d2v = d2v.multiply(new Complex(2.0, 0.0)); // Check for convergence. final double tolerance = FastMath.max(relativeAccuracy * z.abs(), absoluteAccuracy); if ((z.subtract(oldz)).abs() <= tolerance) { return z; } if (pv.abs() <= functionValueAccuracy) { return z; } // Now pv != 0, calculate the new approximation. final Complex G = dv.divide(pv); final Complex G2 = G.multiply(G); final Complex H = G2.subtract(d2v.divide(pv)); final Complex delta = n1C.multiply((nC.multiply(H)).subtract(G2)); // Choose a denominator larger in magnitude. final Complex deltaSqrt = delta.sqrt(); final Complex dplus = G.add(deltaSqrt); final Complex dminus = G.subtract(deltaSqrt); final Complex denominator = dplus.abs() > dminus.abs() ? dplus : dminus; // Perturb z if denominator is zero, for instance, // p(x) = x^3 + 1, z = 0. if (denominator.equals(new Complex(0.0, 0.0))) { z = z.add(new Complex(absoluteAccuracy, absoluteAccuracy)); oldz = new Complex(Double.POSITIVE_INFINITY, Double.POSITIVE_INFINITY); } else { oldz = z; z = z.subtract(nC.divide(denominator)); } incrementEvaluationCount(); } } } }




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