CRAN/E | dfoptim

dfoptim

Derivative-Free Optimization

Installation

About

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

Key Metrics

Version 2023.1.0
R ≥ 2.10.1
Published 2023-08-23 240 days ago
Needs compilation? no
License GPL-2
License GPL-3
CRAN checks dfoptim results

Downloads

Yesterday 231 0%
Last 7 days 998 -35%
Last 30 days 5.108 -12%
Last 90 days 18.685 +5%
Last 365 days 68.423 +20%

Maintainer

Maintainer

Ravi Varadhan

ravi.varadhan@jhu.edu

Authors

Ravi
Varadhan[aut

cre

Johns Hopkins University
Hans W.
Borchers[aut
ABB Corporate Research
Vincent
Bechard[aut
HEC Montreal

(Montreal University)

Material

NEWS
Reference manual
Package source

In Views

Optimization

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

dfoptim archive

Depends

R ≥ 2.10.1

Reverse Depends

mvord

Reverse Imports

atRisk
ConsReg
cops
CSTE
diffusion
DynTxRegime
garma
GeoModels
hyperbrick
matrisk
npcs
reReg
sklarsomega
stepPenal
stops

Reverse Suggests

afex
cxr
lme4
metadat
metafor
optimx
qra
ROI.plugin.optimx

Reverse Enhances

Rmpfr