math::symbolic::parser::precompiled(3pm) [debian man page]
Math::Symbolic::Parser::Precompiled(3pm) User Contributed Perl Documentation Math::Symbolic::Parser::Precompiled(3pm)NAME
Math::Symbolic::Parser::Precompiled - Precompiled Math::Symbolic Parser
DESCRIPTION
This module is a precompiled version of the Parse::RecDescent grammar that can be found in $Math::Symbolic::Parser::Grammar. It is used
internally to improve startup performance. Please use the new() method in the Math::Symbolic::Parser namespace to generate new parsers.
Also note that some modules on CPAN (like Math::SymbolicX::Complex, etc.) modify the parser which is stored in $Math::Symbolic::Parser at
the time of loading the module.
AUTHOR
Please send feedback, bug reports, and support requests to the Math::Symbolic support mailing list: math-symbolic-support at lists dot
sourceforge dot net. Please consider letting us know how you use Math::Symbolic. Thank you.
If you're interested in helping with the development or extending the module's functionality, please contact the developers' mailing list:
math-symbolic-develop at lists dot sourceforge dot net.
List of contributors:
Steffen Mueller, symbolic-module at steffen-mueller dot net
Stray Toaster, mwk at users dot sourceforge dot net
Oliver Ebenhoeh
SEE ALSO
New versions of this module can be found on http://steffen-mueller.net or CPAN. The module development takes place on Sourceforge at
http://sourceforge.net/projects/math-symbolic/
Math::Symbolic
Math::Symbolic::Parser
perl v5.10.1 2011-01-01 Math::Symbolic::Parser::Precompiled(3pm)
Check Out this Related Man Page
Math::Symbolic::Derivative(3pm) User Contributed Perl Documentation Math::Symbolic::Derivative(3pm)NAME
Math::Symbolic::Derivative - Derive Math::Symbolic trees
SYNOPSIS
use Math::Symbolic::Derivative qw/:all/;
$derived = partial_derivative($term, $variable);
# or:
$derived = total_derivative($term, $variable);
DESCRIPTION
This module implements derivatives for Math::Symbolic trees. Derivatives are Math::Symbolic::Operators, but their implementation is drawn
from this module because it is significantly more complex than the implementation of most operators.
Derivatives come in two flavours. There are partial- and total derivatives.
Explaining the precise difference between partial- and total derivatives is beyond the scope of this document, but in the context of
Math::Symbolic, the difference is simply that partial derivatives just derive in terms of explicit dependency on the differential variable
while total derivatives recongnize implicit dependencies from variable signatures.
Partial derivatives are faster, have been tested more thoroughly, and are probably what you want for simpler applications anyway.
EXPORT
None by default. But you may choose to import the total_derivative() and partial_derivative() functions.
CLASS DATA
The package variable %Partial_Rules contains partial derivative rules as key-value pairs of names and subroutines.
SUBROUTINES
partial_derivative
Takes a Math::Symbolic tree and a Math::Symbolic::Variable as argument. third argument is an optional boolean indicating whether or not
the tree has to be cloned before being derived. If it is true, the subroutine happily stomps on any code that might rely on any components
of the Math::Symbolic tree that was passed to the sub as first argument.
total_derivative
Takes a Math::Symbolic tree and a Math::Symbolic::Variable as argument. third argument is an optional boolean indicating whether or not
the tree has to be cloned before being derived. If it is true, the subroutine happily stomps on any code that might rely on any components
of the Math::Symbolic tree that was passed to the sub as first argument.
AUTHOR
Please send feedback, bug reports, and support requests to the Math::Symbolic support mailing list: math-symbolic-support at lists dot
sourceforge dot net. Please consider letting us know how you use Math::Symbolic. Thank you.
If you're interested in helping with the development or extending the module's functionality, please contact the developers' mailing list:
math-symbolic-develop at lists dot sourceforge dot net.
List of contributors:
Steffen Mueller, symbolic-module at steffen-mueller dot net
Stray Toaster, mwk at users dot sourceforge dot net
Oliver Ebenhoeh
SEE ALSO
New versions of this module can be found on http://steffen-mueller.net or CPAN. The module development takes place on Sourceforge at
http://sourceforge.net/projects/math-symbolic/
Math::Symbolic
perl v5.10.1 2011-01-01 Math::Symbolic::Derivative(3pm)