Package cnuphys.adaptiveSwim

Class RK4HalfStepAdvance

java.lang.Object

cnuphys.adaptiveSwim.RK4HalfStepAdvance

All Implemented Interfaces:

IAdaptiveAdvance

public class RK4HalfStepAdvance
extends Object
implements IAdaptiveAdvance

This is a 4th order RungeKutta advancer

Author:

heddle

Constructor Summary

Constructors

Constructor	Description
RK4HalfStepAdvance(int nDim)	Create a RK4 half stepper

Method Summary

Modifier and Type	Method	Description
void	advance(double s, double[] u, double[] du, double h, IDerivative deriv, double[] uf, double eps, AdaptiveStepResult result)	Advance the solution by one step of the independent variable.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Details

RK4HalfStepAdvance

public RK4HalfStepAdvance(int nDim)

Create a RK4 half stepper

Parameters:

nDim - the dimension of the problem (length of state vector)

Method Details

advance

public void advance(double s,
 double[] u,
 double[] du,
 double h,
 IDerivative deriv,
 double[] uf,
 double eps,
 AdaptiveStepResult result)

Description copied from interface: IAdaptiveAdvance

Advance the solution by one step of the independent variable.

Specified by:

advance in interface IAdaptiveAdvance

Parameters:

s - the current value of the independent variable

u - the current values of the state vector

du - the current values of the derivative (before advance)

h - the current step size

deriv - the function (interface) that can compute the derivatives. That is where the problem specificity resides .

uf - where the state vector at the next step will be stored (output)

eps - the overall tolerance (e.g., 1.0e-5) param result container for the new value of the independent variable and the new step size