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https://github.com/vagmcs/Optimus
Optimus is a mathematical programming library for Scala.
https://github.com/vagmcs/Optimus
algebra integer-programming linear-programming optimization quadratic-programming scala
Last synced: 2 months ago
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Optimus is a mathematical programming library for Scala.
- Host: GitHub
- URL: https://github.com/vagmcs/Optimus
- Owner: vagmcs
- License: lgpl-3.0
- Created: 2014-12-23T12:23:36.000Z (over 9 years ago)
- Default Branch: master
- Last Pushed: 2023-02-04T17:10:50.000Z (over 1 year ago)
- Last Synced: 2024-01-31T22:36:52.492Z (5 months ago)
- Topics: algebra, integer-programming, linear-programming, optimization, quadratic-programming, scala
- Language: Scala
- Homepage:
- Size: 480 KB
- Stars: 141
- Watchers: 8
- Forks: 27
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
Lists
- awesome-scala - Optimus - activity/y/vagmcs/Optimus) (Table of Contents / Science and Data Analysis)
- awesome-scala - Optimus * 96
README
## Optimus
[](https://www.gnu.org/licenses/lgpl-3.0)
[](https://maven-badges.herokuapp.com/maven-central/com.github.vagmcs/optimus_2.13)
[](https://javadoc.io/doc/com.github.vagmcs/optimus_2.13)
Optimus is a library for Linear and Quadratic mathematical optimization written in [Scala programming language](http://scala-lang.org).
## License
This program comes with ABSOLUTELY NO WARRANTY. This is free software, and you are welcome to redistribute it under certain conditions; See the [GNU Lesser General Public License v3 for more details](http://www.gnu.org/licenses/lgpl-3.0.en.html).
## Features
1. High level mathematical modeling in Scala using algebraic expressions
* Linear and quadratic objective and constraint expressions.
* Higher order expressions cannot be defined or handled by the solvers yet.
* Addition, subtraction and multiplication operations can be performed on expressions.
* Expression simplification produces the simpler form of the expression.
2. Supports various optimization settings by using existing mathematical programming solvers
* Linear programming (LP)
* Quadratic programming (QP)
* Quadratic constraint quadratic programming (QCQP)
* Mixed integer programming (MIP)
3. Available solvers:
* Open source [LpSolve](http://sourceforge.net/projects/lpsolve/) can be used for LP and MIP.
* Open source [oJSolver](http://ojalgo.org/) can be used for LP, QP and MIP.
* Proprietary solver [Gurobi 9](http://www.gurobi.com/) can be used for efficiently solving LP, QP, QCQP and MIP.
* Proprietary solver [Mosek 9](https://www.mosek.com/) can be used for efficiently solving LP, QP, QCQP and MIP.
## How to get Optimus
Optimus is published to Maven Central for Scala 2.12, 2.13 and 3.1.3!
Add the following dependencies to your SBT build file in order to get started:
```scala
libraryDependencies ++= Seq(
"com.github.vagmcs" %% "optimus" % "3.4.3",
"com.github.vagmcs" %% "optimus-solver-oj" % "3.4.3",
"com.github.vagmcs" %% "optimus-solver-lp" % "3.4.3"
)
```
Optionally, you can also add the following extra dependencies for proprietary solvers:
```scala
"com.github.vagmcs" %% "optimus-solver-gurobi" % "3.4.3"
"com.github.vagmcs" %% "optimus-solver-mosek" % "3.4.3"
```
For more information see [Building and Linking](docs/building_and_linking.md)
## Documentation
- [Linear Programming](docs/linear.md)
- [Quadratic Programming](docs/quadratic.md)
- [Mixed Integer Programming](docs/mixed_integer.md)
- [Model Specification](docs/model_spec.md)
## Contributions
Contributions are welcome, for details see [CONTRIBUTING.md](CONTRIBUTING.md).
## Reference for Scientific Publications
Please use the following BibTeX entry to cite Optimus in your papers:
```
@misc{Optimus,
author = {Evangelos Michelioudakis and Anastasios Skarlatidis},
title = {Optimus: an open-source mathematical optimization library},
url = {https://github.com/vagmcs/Optimus}
}
```