Package: nonneg.cg 0.1.6-1
David Cortes
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, Can, 2013, <https://www.hindawi.com/journals/jam/2013/986317/abs/>).
Authors:
nonneg.cg_0.1.6-1.tar.gz
nonneg.cg_0.1.6-1.tar.gz(r-4.5-noble)nonneg.cg_0.1.6-1.tar.gz(r-4.4-noble)
nonneg.cg_0.1.6-1.tgz(r-4.4-emscripten)nonneg.cg_0.1.6-1.tgz(r-4.3-emscripten)
nonneg.cg.pdf |nonneg.cg.html✨
nonneg.cg/json (API)
| # Install 'nonneg.cg' in R: |
| install.packages('nonneg.cg', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/david-cortes/nonneg_cg/issues
Last updated 3 years agofrom:f352d4ddac. Checks:OK: 2. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 12 2024 |
| R-4.5-linux-x86_64 | OK | Oct 12 2024 |
Exports:minimize.nonneg.cg
Dependencies:Rcpp
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Non-Negative CG Minimizer | minimize.nonneg.cg |
