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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  7 months and 24 days ago 593 main
conda 90.5 kB | noarch/r-dfoptim-2023.1.0-r43hc72bb7e_1.conda  7 months and 24 days ago 603 main
conda 90.5 kB | noarch/r-dfoptim-2023.1.0-r42hc72bb7e_0.conda  1 year and 6 months ago 910 main
conda 90.4 kB | noarch/r-dfoptim-2023.1.0-r43hc72bb7e_0.conda  1 year and 6 months ago 936 main

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