dfoptim

Derivative-Free Optimization

Ravi Varadhan, Hans W. Borchers Johns Hopkins University, and Vincent Bechard Abb Corporate Research

Last update: 23 August 2023

Copyright license: GNU General Public License, version 3.0, GNU General Public License, version 2.0

Software version identifier: 2020.10-1, 2011.2-1, 2011.5-1, 2011.7-1, 2011.7-2, 2011.8-1, 2016.7-1, 2017.12-1, 2018.2-1, 2023.1.0

Source code repository: https://github.com/cran/dfoptim

Description

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

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