blob: ef6e0ceae054296d30dd5bf4c346e92b44e02036 [file] [log] [blame]
/*
* 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 $Revision$ $Date$
* @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);
}
}