dfoptim: Derivative-free Optimization
Version 2013.9-24

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, Johns Hopkins University, and Hans W. Borchers, ABB Corporate Research.
Date of publication2013-09-26 17:42:55
MaintainerRavi Varadhan <rvaradhan@jhmi.edu>
LicenseGPL (>= 2)
Version2013.9-24
URL http://www.jhsph.edu/agingandhealth/People/Faculty_personal_pages/Varadhan.html
Package repositoryView on R-Forge
Installation Install the latest version of this package by entering the following in R:
install.packages("dfoptim", repos="http://R-Forge.R-project.org")

Try the dfoptim package in your browser

Any scripts or data that you put into this service are public.

dfoptim documentation built on May 31, 2017, 2:49 a.m.