r-dfoptim
Derivative-Free optimization algorithms. These algorithms do not require gradient information. More importantly, they can be used to solve non-smooth optimization problems.
Derivative-Free optimization algorithms. These algorithms do not require gradient information. More importantly, they can be used to solve non-smooth optimization problems.
| Name | Type | Version | Platform | Labels | Updated | Size | Downloads | Actions |
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noarch/r-dfoptim-2018.2_1-r35h6115d3f_0.tar.bz2 | conda | 2018.2_1 | noarch | main | Dec 29, 2019, 04:53 AM | 67.85 KB | 14 |