public class GraggBulirschStoerIntegrator extends AdaptiveStepsizeIntegrator
The Gragg-Bulirsch-Stoer algorithm is one of the most efficient ones currently available for smooth problems. It uses Richardson extrapolation to estimate what would be the solution if the step size could be decreased down to zero.
This method changes both the step size and the order during
integration, in order to minimize computation cost. It is
particularly well suited when a very high precision is needed. The
limit where this method becomes more efficient than high-order
embedded Runge-Kutta methods like
Dormand-Prince 8(5,3) depends on the problem. Results given in the
Hairer, Norsett and Wanner book show for example that this limit
occurs for accuracy around 1e-6 when integrating Saltzam-Lorenz
equations (the authors note this problem is extremely sensitive
to the errors in the first integration steps), and around 1e-11
for a two dimensional celestial mechanics problems with seven
bodies (pleiades problem, involving quasi-collisions for which
automatic step size control is essential).
This implementation is basically a reimplementation in Java of the odex fortran code by E. Hairer and G. Wanner. The redistribution policy for this code is available here, for convenience, it is reproduced below.
|Copyright (c) 2004, Ernst Hairer|
|Redistribution and use in source and binary forms, with or
without modification, are permitted provided that the following
conditions are met:
|THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE REGENTS OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.|
mainSetDimension, scalAbsoluteTolerance, scalRelativeTolerance, vecAbsoluteTolerance, vecRelativeTolerance
|Constructor and Description|
|Modifier and Type||Method and Description|
Add an event handler to the integrator.
Add a step handler to this integrator.
Integrate a set of differential equations up to the given time.
Set the step size control factors.
Set the interpolation order control parameter.
Set the order control parameters.
Set the stability check controls.
filterStep, getCurrentStepStart, getMaxStep, getMinStep, initializeStep, resetInternalState, sanityChecks, setInitialStepSize, setStepSizeControl, setStepSizeControl
acceptStep, addEventHandler, clearEventHandlers, clearStepHandlers, computeDerivatives, getCurrentSignedStepsize, getEvaluations, getEventHandlers, getMaxEvaluations, getName, getStepHandlers, initIntegration, integrate, setEquations, setMaxEvaluations, setStateInitialized
public GraggBulirschStoerIntegrator(double minStep, double maxStep, double scalAbsoluteTolerance, double scalRelativeTolerance)
minStep- minimal step (sign is irrelevant, regardless of integration direction, forward or backward), the last step can be smaller than this
maxStep- maximal step (sign is irrelevant, regardless of integration direction, forward or backward), the last step can be smaller than this
scalAbsoluteTolerance- allowed absolute error
scalRelativeTolerance- allowed relative error
public GraggBulirschStoerIntegrator(double minStep, double maxStep, double vecAbsoluteTolerance, double vecRelativeTolerance)
minStep- minimal step (must be positive even for backward integration), the last step can be smaller than this
maxStep- maximal step (must be positive even for backward integration)
vecAbsoluteTolerance- allowed absolute error
vecRelativeTolerance- allowed relative error
public void setStabilityCheck(boolean performStabilityCheck, int maxNumIter, int maxNumChecks, double stepsizeReductionFactor)
The stability check is performed on the first few iterations of the extrapolation scheme. If this test fails, the step is rejected and the stepsize is reduced.
By default, the test is performed, at most during two iterations at each step, and at most once for each of these iterations. The default stepsize reduction factor is 0.5.
performStabilityCheck- if true, stability check will be performed, if false, the check will be skipped
maxNumIter- maximal number of iterations for which checks are performed (the number of iterations is reset to default if negative or null)
maxNumChecks- maximal number of checks for each iteration (the number of checks is reset to default if negative or null)
stepsizeReductionFactor- stepsize reduction factor in case of failure (the factor is reset to default if lower than 0.0001 or greater than 0.9999)
public void setControlFactors(double control1, double control2, double control3, double control4)
The new step size hNew is computed from the old one h by:
hNew = h * stepControl2 / (err/stepControl1)^(1/(2k+1))where err is the scaled error and k the iteration number of the extrapolation scheme (counting from 0). The default values are 0.65 for stepControl1 and 0.94 for stepControl2.
The step size is subject to the restriction:
stepControl3^(1/(2k+1))/stepControl4 <= hNew/h <= 1/stepControl3^(1/(2k+1))The default values are 0.02 for stepControl3 and 4.0 for stepControl4.
control1- first stepsize control factor (the factor is reset to default if lower than 0.0001 or greater than 0.9999)
control2- second stepsize control factor (the factor is reset to default if lower than 0.0001 or greater than 0.9999)
control3- third stepsize control factor (the factor is reset to default if lower than 0.0001 or greater than 0.9999)
control4- fourth stepsize control factor (the factor is reset to default if lower than 1.0001 or greater than 999.9)
public void setOrderControl(int maximalOrder, double control1, double control2)
The Gragg-Bulirsch-Stoer method changes both the step size and the order during integration, in order to minimize computation cost. Each extrapolation step increases the order by 2, so the maximal order that will be used is always even, it is twice the maximal number of columns in the extrapolation table.
order is decreased if w(k-1) <= w(k) * orderControl1 order is increased if w(k) <= w(k-1) * orderControl2
where w is the table of work per unit step for each order (number of function calls divided by the step length), and k is the current order.
The default maximal order after construction is 18 (i.e. the maximal number of columns is 9). The default values are 0.8 for orderControl1 and 0.9 for orderControl2.
maximalOrder- maximal order in the extrapolation table (the maximal order is reset to default if order <= 6 or odd)
control1- first order control factor (the factor is reset to default if lower than 0.0001 or greater than 0.9999)
control2- second order control factor (the factor is reset to default if lower than 0.0001 or greater than 0.9999)
public void addStepHandler(StepHandler handler)
The handler will be called by the integrator for each accepted step.
public void addEventHandler(EventHandler function, double maxCheckInterval, double convergence, int maxIterationCount, UnivariateSolver solver)
function- event handler
maxCheckInterval- maximal time interval between switching function checks (this interval prevents missing sign changes in case the integration steps becomes very large)
convergence- convergence threshold in the event time search
maxIterationCount- upper limit of the iteration count in the event time search
solver- The root-finding algorithm to use to detect the state events.
public void setInterpolationControl(boolean useInterpolationErrorForControl, int mudifControlParameter)
useInterpolationErrorForControl- if true, interpolation error is used for stepsize control
mudifControlParameter- interpolation order control parameter (the parameter is reset to default if <= 0 or >= 7)
public void integrate(ExpandableStatefulODE equations, double t) throws MathIllegalStateException, MathIllegalArgumentException
This method solves an Initial Value Problem (IVP).
The set of differential equations is composed of a main set, which can be extended by some sets of secondary equations. The set of equations must be already set up with initial time and partial states. At integration completion, the final time and partial states will be available in the same object.
Since this method stores some internal state variables made
available in its public interface during integration (
AbstractIntegrator.getCurrentSignedStepsize()), it is not thread-safe.
equations- complete set of differential equations to integrate
t- target time for the integration (can be set to a value smaller than
t0for backward integration)
MathIllegalStateException- if the integrator cannot perform integration
MathIllegalArgumentException- if integration parameters are wrong (typically too small integration span)
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