/ 
Math-StochasticProcess-0.01
River stage zero No dependents
/ Math::StochasticProcess::RandomVariable

NAME

Math::StochasticProcess::RandomVariable - Part of the Math::StochasticProcess::Tuple model

VERSION

Version 0.01

SYNOPSIS

See Math::StochasticProcess::Event::Tuple. The RandomVariable class represents a numerical random variable. The Tuple class represents a set of named RandomVariables, and also controls how RandomVariables change.

FUNCTIONS

new

A standard constructor. The possible arguments are as follows:

value

This should be set to the initial value.

validate_cb

This optional coderef is run against any change of value and must always return 1.

internal

Internal random variables are ignored once an Event is resolved. Probably internal random variables need not be numerical.

checkValue

This function checks that the value of the RandomVariable satisfies its internal constraint.

value

This returns the current.

signature

The signature gives an approximate value to the variable for the purposes of event merging. The more lumpy the variable then the bigger the approximation. If the variable has undefined lumpiness, then the signature is just the same as the value.

merge

This is a utility function for Math::StochasticProcess::Event::Tuple::merge. We choose this interface to allow for the possibility that derived classes might want to regard "similar" values as essentially indentical. In such a case the probabilities would be required to set the new value to a weighted average.

copy

This is a utility function for Math::StochasticProcess::Event::Tuple::copy. It is effectively a constructor of the RandomVariable. It returns a copy of the RandomVariable with a change specified by the $change parameter. This might be a new value or callback which is applied to the old value to get the new value.

isInternal

Internal variables only figure in the calculation so long as the Event is unresolved.

AUTHOR

Nicholas Bamber, <theabbot at silasthemonk.org.uk>

BUGS

I have not yet had a chance to test the 'lumpiness' feature of this module. Nor have I yet thought of a suitable regression test for it.

Please report any bugs or feature requests to bug-math-pea-randomvariable at rt.cpan.org, or through the web interface at http://rt.cpan.org/NoAuth/ReportBug.html?Queue=Math-StochasticProcess. I will be notified, and then you'll automatically be notified of progress on your bug as I make changes.

SUPPORT

You can find documentation for this module with the perldoc command.

perldoc Math::StochasticProcess

You can also look for information at:

ACKNOWLEDGEMENTS

COPYRIGHT & LICENSE

Copyright 2008 Nicholas Bamber, all rights reserved.

This program is free software; you can redistribute it and/or modify it under the same terms as Perl itself.