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);
}