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dfoptim (version 2018.2-1)

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

5,047

Version

2018.2-1

License

GPL (>= 2)

Maintainer

Ravi Varadhan

Last Published

April 2nd, 2018

Functions in dfoptim (2018.2-1)

dfoptim

Derivative-Free Optimization
nmk

Nelder-Mead optimziation algorithm for derivative-free optimization
hjk

Hooke-Jeeves derivative-free minimization algorithm