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conda-forge / packages / 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.

copied from cf-staging / r-dfoptim

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Type Size Name Uploaded Downloads Labels
conda 71.9 kB | noarch/r-dfoptim-2018.2_1-r351h6115d3f_1000.tar.bz2  6 years and 1 month ago 4293 main cf202003 gcc7 cf201901
conda 75.2 kB | win-64/r-dfoptim-2018.2_1-r351h6115d3f_0.tar.bz2  6 years and 4 months ago 1726 main cf202003 cf201901
conda 49.5 kB | win-64/r-dfoptim-2018.2_1-r341h6115d3f_0.tar.bz2  6 years and 4 months ago 1728 main cf202003 cf201901
conda 71.5 kB | osx-64/r-dfoptim-2018.2_1-r351h6115d3f_0.tar.bz2  6 years and 4 months ago 363 main cf202003 cf201901
conda 45.9 kB | osx-64/r-dfoptim-2018.2_1-r341h6115d3f_0.tar.bz2  6 years and 4 months ago 378 main cf202003 cf201901
conda 71.7 kB | linux-64/r-dfoptim-2018.2_1-r351h6115d3f_0.tar.bz2  6 years and 4 months ago 4550 main cf202003 cf201901
conda 46.0 kB | linux-64/r-dfoptim-2018.2_1-r341h6115d3f_0.tar.bz2  6 years and 4 months ago 6992 main cf202003 cf201901
conda 51.3 kB | win-64/r-dfoptim-2017.12_1-r3.3.2_0.tar.bz2  6 years and 10 months ago 1822 main cf202003 cf201901
conda 50.9 kB | win-64/r-dfoptim-2017.12_1-r3.4.1_0.tar.bz2  6 years and 10 months ago 1796 main cf202003 cf201901
conda 46.2 kB | osx-64/r-dfoptim-2017.12_1-r3.4.1_0.tar.bz2  6 years and 10 months ago 374 main cf202003 cf201901
conda 46.0 kB | osx-64/r-dfoptim-2017.12_1-r3.3.2_0.tar.bz2  6 years and 10 months ago 365 main cf202003 cf201901
conda 45.9 kB | linux-64/r-dfoptim-2017.12_1-r3.4.1_0.tar.bz2  6 years and 10 months ago 4703 main cf202003 cf201901
conda 45.8 kB | linux-64/r-dfoptim-2017.12_1-r3.3.2_0.tar.bz2  6 years and 10 months ago 4881 main cf202003 cf201901
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