numdifftools
Introduction to Numdifftools
Getting Started
See also
Numerical differentiation
Introduction
Numerical differentiation of a general function of one variable
Unequally spaced finite difference rules
Odd and even transformations of a function
Complex step derivative
High order derivative
Richardson extrapolation methodology applied to derivative estimation
Multiple term Richardson extrapolants
Uncertainty estimates for Derivative
Derivative in action
Gradient and Hessian estimation
Conclusion
Acknowledgments
References
Algorithmic differentiation
Numdifftools.nd_algopy
Algoritmic differentiation
License
Developers
Changelog
Version 0.9.13, October 30, 2015
Version 0.9.12, August 28, 2015
Version 0.9.11, August 27, 2015
Version 0.9.10, August 26, 2015
Version 0.9.4, August 26, 2015
Version 0.9.3, August 23, 2015
Version 0.9.2, August 20, 2015
Version 0.9.1, August 20,2015
Version 0.7.7, December 18, 2014
Version 0.7.3, December 17, 2014
Version 0.6.0, February 8, 2014
Version 0.5.0, January 10, 2014
Version 0.4.0, May 5, 2012
Version 0.3.5, May 19, 2011
Version 0.3.4, Feb 24, 2011
Version 0.3.1, May 20, 2009
Module reference
numdifftools package
numdifftools
Docs
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Developers
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Developers
ΒΆ
Per A. Brodtkorb <per.andreas.brodtkorb (at) gmail.com>
John D’Errico <woodchips (at) rochester.rr.com>