Package: optextras 2019-12.4

optextras: Tools to Support Optimization Possibly with Bounds and Masks

Tools to assist in safely applying user generated objective and derivative function to optimization programs. These are primarily function minimization methods with at most bounds and masks on the parameters. Provides a way to check the basic computation of objective functions that the user provides, along with proposed gradient and Hessian functions, as well as to wrap such functions to avoid failures when inadmissible parameters are provided. Check bounds and masks. Check scaling or optimality conditions. Perform an axial search to seek lower points on the objective function surface. Includes forward, central and backward gradient approximation codes.

Authors:John C Nash [aut, cre]

optextras_2019-12.4.tar.gz
optextras_2019-12.4.zip(r-4.7)optextras_2019-12.4.zip(r-4.6)optextras_2019-12.4.zip(r-4.5)
optextras_2019-12.4.tgz(r-4.6-any)optextras_2019-12.4.tgz(r-4.5-any)
optextras_2019-12.4.tar.gz(r-4.7-any)optextras_2019-12.4.tar.gz(r-4.6-any)
optextras_2019-12.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
optextras/json (API)
NEWS

# Install 'optextras' in R:
install.packages('optextras', repos = c('https://nashjc.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.18 score 15 scripts 351 downloads 16 exports 1 dependencies

Last updated from:4e3e7bcf92. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64NOTE98
source / vignettesOK160
linux-release-x86_64NOTE97
macos-release-arm64NOTE66
macos-oldrel-arm64NOTE86
windows-develNOTE68
windows-releaseNOTE101
windows-oldrelNOTE61
wasm-releaseOK93

Exports:axsearchbmchkbmstepctrldefaultfnchkgHgengHgenbgrbackgrcentralgrchkgrfwdgrndhesschkkktchkoptspscalechk

Dependencies:numDeriv