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📄 highamhall54integrator.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.ode;/** * This class implements the 5(4) Higham and Hall integrator for * Ordinary Differential Equations. * * <p>This integrator is an embedded Runge-Kutta integrator * of order 5(4) used in local extrapolation mode (i.e. the solution * is computed using the high order formula) with stepsize control * (and automatic step initialization) and continuous output. This * method uses 7 functions evaluations per step.</p> * * @version $Revision: 620312 $ $Date: 2008-02-10 12:28:59 -0700 (Sun, 10 Feb 2008) $ * @since 1.2 */public class HighamHall54Integrator  extends EmbeddedRungeKuttaIntegrator {  /** Integrator method name. */  private static final String methodName = "Higham-Hall 5(4)";  /** Time steps Butcher array. */  private static final double[] staticC = {    2.0/9.0, 1.0/3.0, 1.0/2.0, 3.0/5.0, 1.0, 1.0  };  /** Internal weights Butcher array. */  private static final double[][] staticA = {    {2.0/9.0},    {1.0/12.0, 1.0/4.0},    {1.0/8.0, 0.0, 3.0/8.0},    {91.0/500.0, -27.0/100.0, 78.0/125.0, 8.0/125.0},    {-11.0/20.0, 27.0/20.0, 12.0/5.0, -36.0/5.0, 5.0},    {1.0/12.0, 0.0, 27.0/32.0, -4.0/3.0, 125.0/96.0, 5.0/48.0}  };  /** Propagation weights Butcher array. */  private static final double[] staticB = {    1.0/12.0, 0.0, 27.0/32.0, -4.0/3.0, 125.0/96.0, 5.0/48.0, 0.0  };  /** Error weights Butcher array. */  private static final double[] staticE = {    -1.0/20.0, 0.0, 81.0/160.0, -6.0/5.0, 25.0/32.0, 1.0/16.0, -1.0/10.0  };  /** Simple constructor.   * Build a fifth order Higham and Hall integrator with the given step bounds   * @param minStep minimal step (must be positive even for backward   * integration), the last step can be smaller than this   * @param maxStep maximal step (must be positive even for backward   * integration)   * @param scalAbsoluteTolerance allowed absolute error   * @param scalRelativeTolerance allowed relative error   */  public HighamHall54Integrator(double minStep, double maxStep,                                double scalAbsoluteTolerance,                                double scalRelativeTolerance) {    super(false, staticC, staticA, staticB, new HighamHall54StepInterpolator(),          minStep, maxStep, scalAbsoluteTolerance, scalRelativeTolerance);  }  /** Simple constructor.   * Build a fifth order Higham and Hall integrator with the given step bounds   * @param minStep minimal step (must be positive even for backward   * integration), the last step can be smaller than this   * @param maxStep maximal step (must be positive even for backward   * integration)   * @param vecAbsoluteTolerance allowed absolute error   * @param vecRelativeTolerance allowed relative error   */  public HighamHall54Integrator(double minStep, double maxStep,                                double[] vecAbsoluteTolerance,                                double[] vecRelativeTolerance) {    super(false, staticC, staticA, staticB, new HighamHall54StepInterpolator(),          minStep, maxStep, vecAbsoluteTolerance, vecRelativeTolerance);  }  /** Get the name of the method.   * @return name of the method   */  public String getName() {    return methodName;  }  /** Get the order of the method.   * @return order of the method   */  public int getOrder() {    return 5;  }  /** Compute the error ratio.   * @param yDotK derivatives computed during the first stages   * @param y0 estimate of the step at the start of the step   * @param y1 estimate of the step at the end of the step   * @param h  current step   * @return error ratio, greater than 1 if step should be rejected   */  protected double estimateError(double[][] yDotK,                                 double[] y0, double[] y1,                                 double h) {    double error = 0;    for (int j = 0; j < y0.length; ++j) {      double errSum = staticE[0] * yDotK[0][j];      for (int l = 1; l < staticE.length; ++l) {        errSum += staticE[l] * yDotK[l][j];      }      double yScale = Math.max(Math.abs(y0[j]), Math.abs(y1[j]));      double tol = (vecAbsoluteTolerance == null) ?                   (scalAbsoluteTolerance + scalRelativeTolerance * yScale) :                   (vecAbsoluteTolerance[j] + vecRelativeTolerance[j] * yScale);      double ratio  = h * errSum / tol;      error += ratio * ratio;    }    return Math.sqrt(error / y0.length);  }}

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