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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-post-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 10 months ago	4760	main cf202003 gcc7 cf201901
	conda	75.2 kB	\| win-64/r-dfoptim-2018.2_1-r351h6115d3f_0.tar.bz2	7 years and 9 days ago	1740	main cf202003 cf201901
	conda	49.5 kB	\| win-64/r-dfoptim-2018.2_1-r341h6115d3f_0.tar.bz2	7 years and 9 days ago	1742	main cf202003 cf201901
	conda	71.5 kB	\| osx-64/r-dfoptim-2018.2_1-r351h6115d3f_0.tar.bz2	7 years and 9 days ago	369	main cf202003 cf201901
	conda	45.9 kB	\| osx-64/r-dfoptim-2018.2_1-r341h6115d3f_0.tar.bz2	7 years and 9 days ago	383	main cf202003 cf201901
	conda	71.7 kB	\| linux-64/r-dfoptim-2018.2_1-r351h6115d3f_0.tar.bz2	7 years and 9 days ago	5189	main cf202003 cf201901
	conda	46.0 kB	\| linux-64/r-dfoptim-2018.2_1-r341h6115d3f_0.tar.bz2	7 years and 9 days ago	7559	main cf202003 cf201901
	conda	51.3 kB	\| win-64/r-dfoptim-2017.12_1-r3.3.2_0.tar.bz2	7 years and 7 months ago	2701	main cf202003 cf201901
	conda	50.9 kB	\| win-64/r-dfoptim-2017.12_1-r3.4.1_0.tar.bz2	7 years and 7 months ago	2732	main cf202003 cf201901
	conda	46.2 kB	\| osx-64/r-dfoptim-2017.12_1-r3.4.1_0.tar.bz2	7 years and 7 months ago	1284	main cf202003 cf201901
	conda	46.0 kB	\| osx-64/r-dfoptim-2017.12_1-r3.3.2_0.tar.bz2	7 years and 7 months ago	1267	main cf202003 cf201901
	conda	45.9 kB	\| linux-64/r-dfoptim-2017.12_1-r3.4.1_0.tar.bz2	7 years and 7 months ago	6227	main cf202003 cf201901
	conda	45.8 kB	\| linux-64/r-dfoptim-2017.12_1-r3.3.2_0.tar.bz2	7 years and 7 months ago	6367	main cf202003 cf201901

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