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.

Package details

AuthorRavi Varadhan[aut, cre], Johns Hopkins University, Hans W. Borchers[aut], ABB Corporate Research, and Vincent Bechard[aut], HEC Montreal (Montreal University)
MaintainerRavi Varadhan <ravi.varadhan@jhu.edu>
LicenseGPL (>= 2)
Package repositoryView on CRAN
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dfoptim documentation built on Aug. 23, 2023, 5:10 p.m.