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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-staging / r-dfoptim
Type Size Name Uploaded Downloads Labels
conda 90.4 kB | noarch/r-dfoptim-2023.1.0-r44hc72bb7e_1.conda  8 months and 16 days ago 627 main
conda 90.5 kB | noarch/r-dfoptim-2023.1.0-r43hc72bb7e_1.conda  8 months and 16 days ago 637 main
conda 90.5 kB | noarch/r-dfoptim-2023.1.0-r42hc72bb7e_0.conda  1 year and 7 months ago 947 main
conda 90.4 kB | noarch/r-dfoptim-2023.1.0-r43hc72bb7e_0.conda  1 year and 7 months ago 970 main

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