Code covered by the BSD License  

Highlights from
Adaptive Robust Numerical Differentiation

Adaptive Robust Numerical Differentiation

by

John D'Errico (view profile)

 

27 Dec 2006 (Updated )

Numerical derivative of an analytically supplied function, also gradient, Jacobian & Hessian

DERIVESTsuite.zip
DERIVESTsuite/demo/derivest_demo.m
DERIVESTsuite/demo/html/derivest_demo.html
DERIVESTsuite/demo/html/derivest_demo.png
DERIVESTsuite/demo/html/derivest_demo_01.png
DERIVESTsuite/demo/html/multivariable_calc_demo.html
DERIVESTsuite/demo/multivariable_calc_demo.m
DERIVESTsuite/derivest.m
DERIVESTsuite/directionaldiff.m
DERIVESTsuite/doc/DERIVEST.pdf
DERIVESTsuite/doc/DERIVEST.tex
DERIVESTsuite/gradest.m
DERIVESTsuite/hessdiag.m
DERIVESTsuite/hessian.m
DERIVESTsuite/jacobianest.m
DERIVESTsuite/ReadMe.rtf
license.txt

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