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Routines for solving convex optimization problems with cone constraints by means of interior-point methods. The implemented algorithms are partially ported from CVXOPT, a Python module for convex optimization (see <http://cvxopt.org> for more information).

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conda 603.0 kB | linux-64/r-cccp-0.2_9-r43h884c59f_0.tar.bz2  1 year and 1 month ago 24 main
conda 594.8 kB | linux-64/r-cccp-0.2_7-r42h884c59f_0.tar.bz2  2 years and 7 months ago 60 main
conda 559.1 kB | win-64/r-cccp-0.2_4-r36h796a38f_0.tar.bz2  4 years and 11 months ago 62 main
conda 610.5 kB | osx-64/r-cccp-0.2_4-r36h466af19_0.tar.bz2  4 years and 11 months ago 17 main
conda 581.6 kB | linux-64/r-cccp-0.2_4-r36h29659fb_0.tar.bz2  4 years and 11 months ago 64 main

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