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dfoptim (version 2023.1.0)
Derivative-Free Optimization
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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2023.1.0
2020.10-1
2018.2-1
2017.12-1
2016.7-1
2011.8-1
2011.7-2
2011.7-1
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Install
install.packages('dfoptim')
Monthly Downloads
5,251
Version
2023.1.0
License
GPL (>= 2)
Maintainer
Ravi Varadhan
Last Published
August 23rd, 2023
Functions in dfoptim (2023.1.0)
Search functions
hjk
Hooke-Jeeves derivative-free minimization algorithm
dfoptim
Derivative-Free Optimization
nmk
Nelder-Mead optimziation algorithm for derivative-free optimization
mads
Mesh Adaptive Direct Searches (MADS) algorithm for derivative-free and black-box optimization