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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 71.9 kB | noarch/r-dfoptim-2018.2_1-r351h6115d3f_1000.tar.bz2  6 years and 21 days ago 4218 main cf202003 gcc7 cf201901
conda 75.2 kB | win-64/r-dfoptim-2018.2_1-r351h6115d3f_0.tar.bz2  6 years and 2 months ago 1720 main cf202003 cf201901
conda 49.5 kB | win-64/r-dfoptim-2018.2_1-r341h6115d3f_0.tar.bz2  6 years and 2 months ago 1722 main cf202003 cf201901
conda 71.5 kB | osx-64/r-dfoptim-2018.2_1-r351h6115d3f_0.tar.bz2  6 years and 2 months ago 362 main cf202003 cf201901
conda 45.9 kB | osx-64/r-dfoptim-2018.2_1-r341h6115d3f_0.tar.bz2  6 years and 2 months ago 377 main cf202003 cf201901
conda 71.7 kB | linux-64/r-dfoptim-2018.2_1-r351h6115d3f_0.tar.bz2  6 years and 2 months ago 4444 main cf202003 cf201901
conda 46.0 kB | linux-64/r-dfoptim-2018.2_1-r341h6115d3f_0.tar.bz2  6 years and 2 months ago 6888 main cf202003 cf201901
conda 51.3 kB | win-64/r-dfoptim-2017.12_1-r3.3.2_0.tar.bz2  6 years and 9 months ago 1815 main cf202003 cf201901
conda 50.9 kB | win-64/r-dfoptim-2017.12_1-r3.4.1_0.tar.bz2  6 years and 9 months ago 1792 main cf202003 cf201901
conda 46.2 kB | osx-64/r-dfoptim-2017.12_1-r3.4.1_0.tar.bz2  6 years and 9 months ago 373 main cf202003 cf201901
conda 46.0 kB | osx-64/r-dfoptim-2017.12_1-r3.3.2_0.tar.bz2  6 years and 9 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 9 months ago 4584 main cf202003 cf201901
conda 45.8 kB | linux-64/r-dfoptim-2017.12_1-r3.3.2_0.tar.bz2  6 years and 9 months ago 4758 main cf202003 cf201901

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