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r / packages / r-nonneg.cg

Minimize a differentiable function subject to all the variables being non-negative (i.e. >= 0), using a Conjugate-Gradient algorithm based on a modified Polak-Ribiere-Polyak formula as described in (Li, Can, 2013, <https://www.hindawi.com/journals/jam/2013/986317/abs/>).

Type Size Name Uploaded Downloads Labels
conda 57.9 kB | linux-64/r-nonneg.cg-0.1.6_1-r43h884c59f_0.tar.bz2  1 year and 1 month ago 20 main
conda 58.5 kB | linux-64/r-nonneg.cg-0.1.6_1-r42h884c59f_0.tar.bz2  2 years and 7 months ago 49 main
conda 64.1 kB | win-64/r-nonneg.cg-0.1.6-r36h796a38f_0.tar.bz2  4 years and 11 months ago 85 main
conda 52.8 kB | osx-64/r-nonneg.cg-0.1.6-r36h466af19_0.tar.bz2  4 years and 11 months ago 15 main
conda 58.3 kB | linux-64/r-nonneg.cg-0.1.6-r36h29659fb_0.tar.bz2  4 years and 11 months ago 50 main

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