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numdifftools
: Suite of tools to solve automatic numerical differentiation problems
in one or more variables.
__builtin__.object
:
The most base type
__builtin__.type
:
type(object) -> the object's type type(name, bases, dict) -> a
new type
numdifftools.core.Common_diff_par
:
Object holding common variables and methods for the numdifftools
Input arguments
===============
fun = function to differentiate.
numdifftools.core.Derivative
:
Estimate n'th derivative of fun at x0, with error estimate
Input arguments
===============
fun = function to differentiate.
numdifftools.core.Gradient
:
Estimate gradient of fun at x0, with error estimate
Input arguments
===============
fun = function to differentiate.
numdifftools.core.Hessdiag
:
Estimate diagonal elements of Hessian of fun at x0, with error estimate
Input arguments
===============
fun = function to differentiate.
numdifftools.core.Hessian
:
Estimate Hessian matrix, with error estimate
Input arguments
===============
fun = function to differentiate.
numdifftools.core.Jacobian
:
Estimate Jacobian matrix, with error estimate
Input arguments
===============
fun = function to differentiate.
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