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dfoptim

Derivative-Free Optimization

Derivative-Free optimization algorithms. These algorithms do not require gradient information. More importantly, they can be used to solve non-smooth optimization problems.

Functions (4)

dfoptim-package

Derivative-Free Optimization

hookejeeves

Hooke-Jeeves derivative-free minimization algorithm

mads

Mesh Adaptive Direct Searches (MADS) algorithm for derivative-free and black-box optimization

nmkb

Nelder-Mead optimziation algorithm for derivative-free optimization

dfoptim

Derivative-Free Optimization

v2020.10-1
GPL (>= 2)
Authors
Ravi Varadhan[aut, cre], Johns Hopkins University, Hans W. Borchers[aut], ABB Corporate Research, and Vincent Bechard[aut], HEC Montreal (Montreal University)
Initial release
2020-10-19

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