Package: nonneg.cg 0.1.5

nonneg.cg: Non-Negative Conjugate-Gradient Minimizer

Minimize a differentiable function subject to all the variables being non-negative (i.e. >= 0), using a Conjugate-Gradient algorithm based on a modified Polak-Ribiere-Polyak formula as described in (Li, (2013) <https://www.hindawi.com/journals/jam/2013/986317/abs/>).

Authors:David Cortes

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nonneg.cg/json (API)

# Install 'nonneg.cg' in R:

install.packages('nonneg.cg', repos = c('https://david-cortes.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/david-cortes/nonneg_cg/issues

Uses libs:

openblas– Optimized BLAS
c++– GNU Standard C++ Library v3
openmp– GCC OpenMP (GOMP) support library

On CRAN:

conjugate-gradient minimize optimization

1 exports 2 stars 0.84 score 1 dependencies 1 scripts 239 downloads

Last updated 5 years agofrom:cc1cae1977. Checks:OK: 4 NOTE: 5. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Sep 07 2024
R-4.5-win-x86_64	NOTE	Sep 07 2024
R-4.5-linux-x86_64	NOTE	Sep 07 2024
R-4.4-win-x86_64	NOTE	Sep 07 2024
R-4.4-mac-x86_64	NOTE	Sep 07 2024
R-4.4-mac-aarch64	NOTE	Sep 07 2024
R-4.3-win-x86_64	OK	Sep 07 2024
R-4.3-mac-x86_64	OK	Sep 07 2024
R-4.3-mac-aarch64	OK	Sep 07 2024