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    Convex.jl

    Convex.jl

    A Julia package for disciplined convex programming

    Convex.jl is a Julia package for Disciplined Convex Programming (DCP). Convex.jl makes it easy to describe optimization problems in a natural, mathematical syntax, and to solve those problems using a variety of different (commercial and open-source) solvers. Convex.jl works by transforming the problem—which possibly has nonsmooth, nonlinear constructions like the nuclear norm, the log determinant, and so forth—into a linear optimization problem subject to conic constraints. This reformulation often involves adding auxiliary variables and is called an "extended formulation", since the original problem has been extended with additional variables. ...
    Downloads: 4 This Week
    Last Update:
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    StackExchangeCodes

    StackExchangeCodes

    Codes related to answers on StackExchange Network

    Codes related to answers by Royi Avital on StackExchange Network.
    Downloads: 0 This Week
    Last Update:
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