diff_central

  Signature: (double x(); double [o] res(); double [o] abserr(); SV* function)

info not available

diff_central does not process bad values. It will set the bad-value flag of all output ndarrays if the flag is set for any of the input ndarrays.

diff_backward

  Signature: (double x(); double [o] res(); double [o] abserr(); SV* function)

info not available

diff_backward does not process bad values. It will set the bad-value flag of all output ndarrays if the flag is set for any of the input ndarrays.

diff_forward

  Signature: (double x(); double [o] res(); double [o] abserr(); SV* function)

info not available

diff_forward does not process bad values. It will set the bad-value flag of all output ndarrays if the flag is set for any of the input ndarrays.

gsldiff

This functions serves as an interface to the three differentiation functions present in GSL: gsl_diff_central, gsl_diff_backward and gsl_diff_forward. To compute the derivative, the central method uses values greater and smaller than the point at which the derivative is to be evaluated, while backward and forward use only values smaller and greater respectively. gsldiff() returns both the derivative and an absolute error estimate. The default method is 'central', others can be specified by passing an option.

Please check the GSL documentation for more information.

Usage:

  ($d,$abserr) = gsldiff($function_ref,$x,{Method => $method});

Example:

  #derivative using default method ('central')
  ($d,$abserr) = gsldiff(\&myf,3.3);
  #same as above with method set explicitly
  ($d,$abserr) = gsldiff(\&myf,3.3,{Method => 'central'});
  #using backward & forward methods
  ($d,$abserr) = gsldiff(\&myf,3.3,{Method => 'backward'});
  ($d,$abserr) = gsldiff(\&myf,3.3,{Method => 'forward'});
  sub myf{
    my ($x) = @_;
    return exp($x);
  }