Package: BarBorGradient 1.0.5

BarBorGradient: Function Minimum Approximator

Tool to find where a function has its lowest value(minimum). The functions can be any dimensions. Recommended use is with eps=10^-10, but can be run with 10^-20, although this depends on the function. Two more methods are in this package, simple gradient method (Gradmod) and Powell method (Powell). These are not recommended for use, their purpose are purely for comparison.

Authors:János Hevner

BarBorGradient_1.0.5.tar.gz
BarBorGradient_1.0.5.zip(r-4.5)BarBorGradient_1.0.5.zip(r-4.4)BarBorGradient_1.0.5.zip(r-4.3)
BarBorGradient_1.0.5.tgz(r-4.4-any)BarBorGradient_1.0.5.tgz(r-4.3-any)
BarBorGradient_1.0.5.tar.gz(r-4.5-noble)BarBorGradient_1.0.5.tar.gz(r-4.4-noble)
BarBorGradient_1.0.5.tgz(r-4.4-emscripten)BarBorGradient_1.0.5.tgz(r-4.3-emscripten)
BarBorGradient.pdf |BarBorGradient.html
BarBorGradient/json (API)

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

Peer review:

On CRAN:

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

4 exports 0.00 score 0 dependencies 4 scripts 210 downloads

Last updated 7 years agofrom:b18da586ae. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 17 2024
R-4.5-winOKAug 17 2024
R-4.5-linuxOKAug 17 2024
R-4.4-winOKAug 17 2024
R-4.4-macOKAug 17 2024
R-4.3-winOKAug 17 2024
R-4.3-macOKAug 17 2024

Exports:BarBorBarBorNoPrintGradmodPowell

Dependencies: