Science Score: 67.0%
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○Scientific vocabulary similarity
Low similarity (14.7%) to scientific vocabulary
Keywords
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Repository
Interior-point solver in pure Julia
Basic Info
Statistics
- Stars: 158
- Watchers: 7
- Forks: 21
- Open Issues: 17
- Releases: 25
Topics
Metadata Files
README.md
Tulip
Tulip is an open-source interior-point solver for linear optimization, written in pure Julia. It implements the homogeneous primal-dual interior-point algorithm with multiple centrality corrections, and therefore handles unbounded and infeasible problems. Tulip’s main feature is that its algorithmic framework is disentangled from linear algebra implementations. This allows to seamlessly integrate specialized routines for structured problems.
License
Tulip is licensed under the MPL 2.0 license.
Installation
Install Tulip using the Julia package manager:
julia
import Pkg
Pkg.add("Tulip")
Usage
The recommended way of using Tulip is through JuMP or MathOptInterface (MOI).
The low-level interface is still under development and is likely change in the future. The MOI interface is more stable.
Using with JuMP
Tulip follows the syntax convention PackageName.Optimizer:
julia
using JuMP
import Tulip
model = Model(Tulip.Optimizer)
Linear objectives, linear constraints and lower/upper bounds on variables are supported.
Using with MOI
The type Tulip.Optimizer is parametrized by the model's arithmetic, for example, Float64 or BigFloat.
This allows to solve problem in higher numerical precision.
See the documentation for more details.
julia
import MathOptInterface as MOI
import Tulip
model = Tulip.Optimizer{Float64}() # Create a model in Float64 precision
model = Tulip.Optimizer() # Defaults to the above call
model = Tulip.Optimizer{BigFloat}() # Create a model in BigFloat precision
Solver parameters
See the documentation for a full list of parameters.
To set parameters in JuMP, use:
julia
using JuMP, Tulip
model = Model(Tulip.Optimizer)
set_attribute(model, "IPM_IterationsLimit", 200)
To set parameters in MathOptInterface, use:
julia
using Tulip
import MathOptInterface as MOI
model = Tulip.Optimizer{Float64}()
MOI.set(model, MOI.RawOptimizerAttribute("IPM_IterationsLimit"), 200)
To set parameters in the Tulip API, use:
julia
using Tulip
model = Tulip.Model{Float64}()
Tulip.set_parameter(model, "IPM_IterationsLimit", 200)
Command-line executable
See app building instructions.
Citing Tulip.jl
If you use Tulip in your work, we kindly ask that you cite the following reference (preprint available here).
@Article{Tulip.jl,
author = {Tanneau, Mathieu and Anjos, Miguel F. and Lodi, Andrea},
journal = {Mathematical Programming Computation},
title = {Design and implementation of a modular interior-point solver for linear optimization},
year = {2021},
issn = {1867-2957},
month = feb,
doi = {10.1007/s12532-020-00200-8},
language = {en},
url = {https://doi.org/10.1007/s12532-020-00200-8},
urldate = {2021-03-07},
}
Owner
- Name: CERC Data Science For Decision Making
- Login: ds4dm
- Kind: organization
- Location: Montreal
- Website: https://cerc-datascience.polymtl.ca/
- Twitter: DS4DM
- Repositories: 12
- Profile: https://github.com/ds4dm
Citation (CITATION.bib)
@TechReport{Tulip.jl,
title = {{Tulip}.jl: an open-source interior-point linear optimization
solver with abstract linear algebra},
url = {https://www.gerad.ca/fr/papers/G-2019-36},
Journal = {Les Cahiers du Gerad},
Author = {Anjos, Miguel F. and Lodi, Andrea and Tanneau, Mathieu},
year = {2019}
}
GitHub Events
Total
- Create event: 4
- Commit comment event: 7
- Release event: 1
- Issues event: 5
- Watch event: 5
- Delete event: 3
- Issue comment event: 7
- Push event: 15
- Pull request review comment event: 1
- Pull request review event: 3
- Pull request event: 14
Last Year
- Create event: 4
- Commit comment event: 7
- Release event: 1
- Issues event: 5
- Watch event: 5
- Delete event: 3
- Issue comment event: 7
- Push event: 15
- Pull request review comment event: 1
- Pull request review event: 3
- Pull request event: 14
Committers
Last synced: 7 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| mtanneau | m****u@g****m | 329 |
| github-actions[bot] | 4****] | 8 |
| Oscar Dowson | o****w | 8 |
| Mathieu Besançon | m****n@g****m | 6 |
| Alexis | 3****n | 6 |
| Pratyai Mazumder | p****r@g****m | 2 |
| Neven Sajko | s@p****m | 2 |
| Julia TagBot | 5****t | 1 |
| Fredrik Ekre | e****k@g****m | 1 |
| David Widmann | d****n | 1 |
| Benoît Legat | b****t@g****m | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 4 months ago
All Time
- Total issues: 34
- Total pull requests: 86
- Average time to close issues: 4 months
- Average time to close pull requests: 14 days
- Total issue authors: 25
- Total pull request authors: 13
- Average comments per issue: 3.21
- Average comments per pull request: 1.08
- Merged pull requests: 74
- Bot issues: 0
- Bot pull requests: 10
Past Year
- Issues: 3
- Pull requests: 7
- Average time to close issues: 7 days
- Average time to close pull requests: 10 days
- Issue authors: 3
- Pull request authors: 4
- Average comments per issue: 1.33
- Average comments per pull request: 0.86
- Merged pull requests: 6
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- freemin7 (4)
- nsajko (3)
- stelmo (2)
- mtanneau (2)
- pratyai (2)
- blegat (2)
- juliohm (1)
- mohamed82008 (1)
- exaexa (1)
- JuliaTagBot (1)
- dpo (1)
- ericphanson (1)
- joehuchette (1)
- dellamonica (1)
- ketch (1)
Pull Request Authors
- mtanneau (47)
- github-actions[bot] (10)
- amontoison (9)
- odow (8)
- nsajko (4)
- pratyai (3)
- yuyichao (2)
- ericphanson (2)
- matbesancon (2)
- devmotion (1)
- blegat (1)
- fredrikekre (1)
- JuliaTagBot (1)
Top Labels
Issue Labels
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Packages
- Total packages: 1
-
Total downloads:
- julia 126 total
- Total dependent packages: 6
- Total dependent repositories: 0
- Total versions: 25
juliahub.com: Tulip
Interior-point solver in pure Julia
- Documentation: https://docs.juliahub.com/General/Tulip/stable/
- License: MPL-2.0
-
Latest release: 0.9.7
published 9 months ago
Rankings
Dependencies
- actions/checkout v2 composite
- julia-actions/setup-julia latest composite
- JuliaRegistries/TagBot v1 composite
- actions/cache v1 composite
- actions/checkout v2 composite
- codecov/codecov-action v1 composite
- julia-actions/julia-buildpkg v1 composite
- julia-actions/julia-processcoverage v1 composite
- julia-actions/julia-runtest v1 composite
- julia-actions/setup-julia v1 composite