This is the Linux app named Convex.jl whose latest release can be downloaded as v0.16.5sourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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Convex.jl
DESCRIPTION
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. These formulations rely on the problem being modeled by combining Convex.jl's "atoms" or primitives according to certain rules which ensure convexity, called the disciplined convex programming (DCP) ruleset. If these atoms are combined in a way that does not ensure convexity, the extended formulations are often invalid.
Features
- Linear programs
- Mixed-integer linear programs and mixed-integer second-order cone programs
- dcp-compliant convex programs
- Convex.jl supports many solvers
- Extended formulations and the DCP ruleset
- Convex.jl is a Julia package for Disciplined Convex Programming
Programming Language
Julia
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/convex-jl.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
