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Math::GSL::Diff - Numerical differentiation routines

Authors

       Jonathan "Duke" Leto <jonathan@leto.net> and Thierry Moisan <thierry.moisan@gmail.com>

Description

       Here is a list of all the functions included in this module :

       "gsl_diff_central"
           This  function  computes  the numerical derivative of the function f at the point x using an adaptive
           central difference algorithm.  The result is an array where the first position is an  error  code  (0
           for success), the second is derivative value, and the third is an estimate of its absolute error.

              my ($success, $result, $error) =
                    gsl_diff_central(sub { return $_[0] ** 1.5 }, 2.0);

       "gsl_diff_backward"
           This  function  computes  the numerical derivative of the function f at the point x using an adaptive
           forward difference algorithm.  Its usage is similar to "gsl_diff_central".

              my ($success, $result, $error) =
                     gsl_diff_backward(sub { return $_[0] ** 1.5 }, 0.0);

       "gsl_diff_forward"
           This function computes the numerical derivative of the function f at the point x  using  an  adaptive
           backward difference algorithm.  Its usage is similar to "gsl_diff_central".

              my ($success, $result, $error) =
                     gsl_diff_forward(sub { return $_[0] ** 1.5 }, 1.0);

Examples

Name

       Math::GSL::Diff - Numerical differentiation routines

Synopsis

           use Math::GSL::Diff qw/:all/;

See Also