https://github.com/tkoolen/flexiblenonlinearprogram.jl

https://github.com/tkoolen/flexiblenonlinearprogram.jl

Last synced: about 2 months ago
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• Host: GitHub
• URL: https://github.com/tkoolen/flexiblenonlinearprogram.jl
• Owner: tkoolen
• License: other
• Created: 2016-10-20T09:30:16.000Z (over 8 years ago)
• Default Branch: master
• Last Pushed: 2018-06-24T16:43:08.000Z (almost 7 years ago)
• Last Synced: 2025-01-22T03:41:43.666Z (3 months ago)
• Language: Julia
• Size: 20.5 KB
• Stars: 0
• Watchers: 2
• Forks: 1
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.md

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README

        
# FlexibleNonlinearProgram

[![Build Status](https://travis-ci.org/tkoolen/FlexibleNonlinearProgram.jl.svg?branch=master)](https://travis-ci.org/tkoolen/FlexibleNonlinearProgram.jl)

[![codecov.io](https://codecov.io/github/tkoolen/FlexibleNonlinearProgram.jl/coverage.svg?branch=master)](https://codecov.io/github/tkoolen/FlexibleNonlinearProgram.jl?branch=master)

FlexibleNonlinearProgram provides a simple way to set up a nonlinear program in the format accepted by [MathProgBase](https://github.com/JuliaOpt/MathProgBase.jl), which allows the program to be solved using a variety of solvers. FlexibleNonlinearProgram.jl uses [ForwardDiff](https://github.com/JuliaDiff/ForwardDiff.jl) for gradient computation. It's not nearly as fancy as [JuMP](https://github.com/JuliaOpt/JuMP.jl), but does support vector-valued constraints, a big limitation in JuMP's current nonlinear programming interface.

Check out the tests to see some basic examples.