
Numeric.GSL.Differentiation  Portability  uses ffi  Stability  provisional  Maintainer  Alberto Ruiz (aruiz at um dot es) 



Description 
Numerical differentiation.
http://www.gnu.org/software/gsl/manual/html_node/NumericalDifferentiation.html#NumericalDifferentiation
From the GSL manual: "The functions described in this chapter compute numerical derivatives by finite differencing. An adaptive algorithm is used to find the best choice of finite difference and to estimate the error in the derivative."


Synopsis 



Documentation 


:: Double  initial step size
 > Double > Double  function
 > Double  point where the derivative is taken
 > (Double, Double)  result and absolute error
 Adaptive central difference algorithm, gsl_deriv_central. For example:
> let deriv = derivCentral 0.01
> deriv sin (pi/4)
(0.7071067812000676,1.0600063101654055e10)
> cos (pi/4)
0.7071067811865476




:: Double  initial step size
 > Double > Double  function
 > Double  point where the derivative is taken
 > (Double, Double)  result and absolute error
 Adaptive forward difference algorithm, gsl_deriv_forward. The function is evaluated only at points greater than x, and never at x itself. The derivative is returned in result and an estimate of its absolute error is returned in abserr. This function should be used if f(x) has a discontinuity at x, or is undefined for values less than x. A backward derivative can be obtained using a negative step.




:: Double  initial step size
 > Double > Double  function
 > Double  point where the derivative is taken
 > (Double, Double)  result and absolute error
 Adaptive backward difference algorithm, gsl_deriv_backward.



Produced by Haddock version 2.6.1 