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dfoptim (version 2020.10-1)

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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Version

Install

install.packages('dfoptim')

Monthly Downloads

17,606

Version

2020.10-1

License

GPL (>= 2)

Maintainer

Ravi Varadhan

Last Published

October 20th, 2020

Functions in dfoptim (2020.10-1)

hjk

Hooke-Jeeves derivative-free minimization algorithm
mads

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

Derivative-Free Optimization
nmk

Nelder-Mead optimziation algorithm for derivative-free optimization