About Anaconda Help Download Anaconda

Derivative-Free optimization algorithms. These algorithms do not require gradient information. More importantly, they can be used to solve non-smooth optimization problems.

copied from cf-post-staging / r-dfoptim
Type Size Name Uploaded Downloads Labels
conda 91.2 kB | noarch/r-dfoptim-2023.1.0-r45hc72bb7e_2.conda  3 days and 23 hours ago 41 main
conda 90.9 kB | noarch/r-dfoptim-2023.1.0-r44hc72bb7e_2.conda  3 days and 23 hours ago 46 main
conda 90.4 kB | noarch/r-dfoptim-2023.1.0-r44hc72bb7e_1.conda  1 year and 2 months ago 965 main
conda 90.5 kB | noarch/r-dfoptim-2023.1.0-r43hc72bb7e_1.conda  1 year and 2 months ago 976 main
conda 90.5 kB | noarch/r-dfoptim-2023.1.0-r42hc72bb7e_0.conda  2 years and 28 days ago 1276 main
conda 90.4 kB | noarch/r-dfoptim-2023.1.0-r43hc72bb7e_0.conda  2 years and 28 days ago 1294 main

© 2025 Anaconda, Inc. All Rights Reserved. (v4.2.2) Legal | Privacy Policy