Module Hierarchy

• numdifftools: Suite of tools to solve automatic numerical differentiation problems in one or more variables.
  • core: Suite of tools to solve automatic numerical differentiation problems in one or more variables.
  • info: Suite of tools to solve automatic numerical differentiation problems in one or more variables.
  • license: Copyright (c) 2008, John D'Errico, Per A.

Class Hierarchy

• __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.