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-4.5)dfoptim_2023.1.0.zip(r-4.4)dfoptim_2023.1.0.zip(r-4.3)
dfoptim_2023.1.0.tgz(r-4.4-any)dfoptim_2023.1.0.tgz(r-4.3-any)
dfoptim_2023.1.0.tar.gz(r-4.5-noble)dfoptim_2023.1.0.tar.gz(r-4.4-noble)
dfoptim_2023.1.0.tgz(r-4.4-emscripten)dfoptim_2023.1.0.tgz(r-4.3-emscripten)
dfoptim.pdf |dfoptim.html✨
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 1 years agofrom:a15cd5a8a8. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 15 2024 |
| R-4.5-win | OK | Nov 15 2024 |
| R-4.5-linux | OK | Nov 15 2024 |
| R-4.4-win | OK | Nov 15 2024 |
| R-4.4-mac | OK | Nov 15 2024 |
| R-4.3-win | OK | Nov 15 2024 |
| R-4.3-mac | OK | Nov 15 2024 |
Dependencies:
