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.

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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
InstallationInstall the latest version of this package by entering the following in R:
install.packages("dfoptim", repos="http://R-Forge.R-project.org")

Man pages

dfoptim-package: Derivative-free Optimization
hookejeeves: Hooke-Jeeves derivative-free minimization algorithm
nmkb: Nelder-Mead optimziation algorithm for derivative-free...

Functions

dfoptim Man page
hjbexplore Source code
hjbsearch Source code
hjexplore Source code
hjk Man page Source code
hjkb Man page Source code
hjsearch Source code
nmk Man page Source code
nmkb Man page Source code

Files

DESCRIPTION
NAMESPACE
NEWS
R
R/hjk.R
R/hjkb.R
R/nmk.R
R/nmkb.R
demo
demo/00Index
demo/dfoptim.R
man
man/dfoptim-package.Rd
man/hookejeeves.Rd
man/nmkb.Rd
dfoptim documentation built on May 21, 2017, 12:59 a.m.