dfoptim: Derivative-Free Optimization
Version 2018.2-1

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 publication2018-04-02 09:37:48 UTC
MaintainerRavi Varadhan <[email protected]>
LicenseGPL (>= 2)
Version2018.2-1
URL http://www.jhsph.edu/agingandhealth/People/Faculty_personal_pages/Varadhan.html
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("dfoptim")

Try the dfoptim package in your browser

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

dfoptim documentation built on April 2, 2018, 5:03 p.m.