Package: dfoptim 2023.1.0

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.

Authors:Ravi Varadhan[aut, cre], Johns Hopkins University, Hans W. Borchers[aut], ABB Corporate Research, and Vincent Bechard[aut], HEC Montreal

dfoptim_2023.1.0.tar.gz
dfoptim_2023.1.0.zip(r-4.5)dfoptim_2023.1.0.zip(r-4.4)dfoptim_2023.1.0.zip(r-4.3)
dfoptim_2023.1.0.tgz(r-4.4-any)dfoptim_2023.1.0.tgz(r-4.3-any)
dfoptim_2023.1.0.tar.gz(r-4.5-noble)dfoptim_2023.1.0.tar.gz(r-4.4-noble)
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dfoptim.pdf |dfoptim.html✨
dfoptim/json (API)
NEWS

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5 exports 3.54 score 0 dependencies 17 dependents 8 mentions 223 scripts 4.1k downloads

Last updated 1 years agofrom:a15cd5a8a8. Checks:OK: 7. Indexed: yes.

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