dfoptim: Derivative-Free Optimization

Derivative-Free optimization algorithms. These algorithms do not require gradient information. More importantly, they can be used to solve non-smooth optimization problems.

AuthorRavi Varadhan, Johns Hopkins University, and Hans W. Borchers, ABB Corporate Research.
Date of publication2016-07-10 17:01:39
MaintainerRavi Varadhan <ravi.varadhan@jhu.edu>
LicenseGPL (>= 2)
Version2016.7-1
http://www.jhsph.edu/agingandhealth/People/Faculty_personal_pages/Varadhan.html

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Files in this package

dfoptim
dfoptim/NAMESPACE
dfoptim/demo
dfoptim/demo/00Index
dfoptim/demo/dfoptim.R
dfoptim/NEWS
dfoptim/R
dfoptim/R/hjk.R dfoptim/R/nmkb.R dfoptim/R/nmk.R dfoptim/R/hjkb.R
dfoptim/MD5
dfoptim/DESCRIPTION
dfoptim/man
dfoptim/man/hookejeeves.Rd dfoptim/man/dfoptim-package.Rd dfoptim/man/nmkb.Rd

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

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