Package: dfoptim 2023.1.0
dfoptim: Derivative-Free Optimization
Derivative-Free optimization algorithms. These algorithms do not require gradient information. More importantly, they can be used to solve non-smooth optimization problems.
Authors:
dfoptim_2023.1.0.tar.gz
dfoptim_2023.1.0.zip(r-4.7)dfoptim_2023.1.0.zip(r-4.6)dfoptim_2023.1.0.zip(r-4.5)
dfoptim_2023.1.0.tgz(r-4.6-any)dfoptim_2023.1.0.tgz(r-4.5-any)
dfoptim_2023.1.0.tar.gz(r-4.7-any)dfoptim_2023.1.0.tar.gz(r-4.6-any)
dfoptim_2023.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
dfoptim/json (API)
NEWS
| # Install 'dfoptim' in R: |
| install.packages('dfoptim', repos = c('https://rvaradhan.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:a15cd5a8a8. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 101 | ||
| source / vignettes | OK | 129 | ||
| linux-release-x86_64 | OK | 91 | ||
| macos-release-arm64 | OK | 162 | ||
| macos-oldrel-arm64 | OK | 165 | ||
| windows-devel | OK | 68 | ||
| windows-release | OK | 68 | ||
| windows-oldrel | OK | 73 | ||
| wasm-release | OK | 90 |
Dependencies:
