4 ms·
OPL – High-level syntax for linear programming
- tlarkworthy 12y agoWhat's the improvement over PuLP?https://pypi.python.org/pypi/PuLP/1.1 https://pypi.python.org/pypi/PuLP/1.1
- idunning 12y agoPuLP, apart from being in Python and this being in Ruby, is definitely a more general tool as it can connect to a wide variety of (MI)LP solvers. Heres a link to the latest version of PuLP: https://pypi.python.org/pypi/PuLP/1.5.6 https://pypi.python.org/pypi/PuLP/1.5.6
- idunning 12y agoAn alternative is JuMP [1], a package for Julia. You can model optimization problems with linear, quadratic, and general nonlinear constraints/objective and send them to a variety of open-source and commercial solvers. JuMP, these solver wrappers, and more are all part of the JuliaOpt organization [2]. Once of the great things about JuMP is that it generates the internal/computer-friendly form for LPs/MILPs/MIQCQPs/... very quickly, as good as any commercial tool. If you are solving nonlinear problems, it'll generate first and second derivatives for you using automatic differentiation (see JuliaDiff for more on that [3]) [1]: https://github.com/JuliaOpt/JuMP.jl https://github.com/JuliaOpt/JuMP.jl [2]: http://juliaopt.org http://juliaopt.org [3]: http://juliadiff.org http://juliadiff.org