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https://github.com/lanl-ansi/katana.jl

A Cutting-Plane Based Solver for Convex NLPs
https://github.com/lanl-ansi/katana.jl

convex-optimization julia-language linear-programming nonlinear-optimization optimization

Last synced: about 1 month ago
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A Cutting-Plane Based Solver for Convex NLPs

Host: GitHub
URL: https://github.com/lanl-ansi/katana.jl
Owner: lanl-ansi
License: other
Created: 2017-06-22T03:56:41.000Z (over 7 years ago)
Default Branch: master
Last Pushed: 2018-08-17T22:42:50.000Z (over 6 years ago)
Last Synced: 2024-06-11T16:01:13.122Z (6 months ago)
Topics: convex-optimization, julia-language, linear-programming, nonlinear-optimization, optimization
Language: Julia
Homepage: https://lanl-ansi.github.io/Katana.jl/latest/
Size: 110 KB
Stars: 9
Watchers: 10
Forks: 2
Open Issues: 8
Metadata Files:
- Readme: README.md

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README

        # Katana.jl

Dev: [![Build Status](https://travis-ci.org/lanl-ansi/Katana.jl.svg?branch=master)](https://travis-ci.org/lanl-ansi/Katana.jl) [![codecov](https://codecov.io/gh/lanl-ansi/Katana.jl/branch/master/graph/badge.svg)](https://codecov.io/gh/lanl-ansi/Katana.jl) [![](https://img.shields.io/badge/docs-latest-blue.svg)](https://lanl-ansi.github.io/Katana.jl/latest)

Katana.jl is a MathProgBase solver for Convex NonLinearPrograms (NLPs).  Katana.jl solves NLPs via the [Extended Cutting-Plane (ECP)](http://epubs.siam.org/doi/10.1137/0108053) method, which combines an Linear Programming solver with a cutting-plane generator to solve Convex NLPs.  Katana.jl is well suited for large-scale Convex NLPs where most of the constraints are linear and the nonlinear constraints are sparse.

## Installation

Install via `Pkg.clone("[email protected]:lanl-ansi/Katana.jl.git")`

Test via `Pkg.test("Katana")`

Build docs by running `julia make.jl` in the docs directory

## License

This code is provided under a BSD license as part of the Polyhedral Approximation in Julia: Automatic Reformulations for InTeger Optimization (PAJARITO) project, LA-CC-15-088.