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MODEL::IMilshtein Class Template Reference

#include <integrator.h>

Inheritance diagram for MODEL::IMilshtein:

[legend]Collaboration diagram for MODEL::IMilshtein:

[legend]List of all members.

Public Methods
	IMilshtein (vf &d, vf &s)
virtual vect&	step (vect &current, time &dt)
Private Attributes
Normal	rnd

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Detailed Description

template<integer dims, typename nelem = number, class NT = NumericTraits<nelem,dims>> class MODEL::IMilshtein

An integrator that can actually do stochastics - the counterpart of Euler

See also:

Random

Definition at line 187 of file integrator.h.

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Member Function Documentation

vect & step ( vect & current, time & dt ) [inline, virtual]

Implement this one to take a step. takes the current point and modifies it. Returns a ref to the modified point Parameters: dt   is the step to take. This makes it possible to generate a adaptive stepsize if needed. I wonder if the fact that an Integrator has a dt makes it a candidate for TickTock status? Reimplemented from MODEL::Integrator. Definition at line 193 of file integrator.h.

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Member Data Documentation

Normal rnd [private]

Normal random Definition at line 235 of file integrator.h. Referenced by step().

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The documentation for this class was generated from the following file:

• integrator.h

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To get the sources or tarballs, please go to SourceForge or you can use the CVS repository.

More Info? Michael Peeters. Also, check our research website: www.alna.vub.ac.be

Last update: June 2002.

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