This chapter describes the available functions for numerical differentiation.
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. This module supersedes the diff module which has been deprecated with the release of GSL-1. XXX
func, x, h) |
(result, error)
is returned with the derivative
and its estimated absolute error.
func, x, h) |
(result, error)
is returned
with the derivative and its estimated absolute error.
func, x, h) |
(result, error)
is returned
with the derivative and its estimated absolute error.
See Also:
The algorithms used by these functions are described in the following book:S.D. Conte and Carl de Boor, Elementary Numerical Analysis: An Algorithmic Approach, McGraw-Hill, 1972.