python-openopt – Python module for numerical optimization¶
- More information
- External resources
Numerical optimization framework developed in Python which provides connections to lots of solvers with easy and unified OpenOpt syntax. Problems which can be tackled with OpenOpt
- Linear Problem (LP)
- Mixed-Integer Linear Problem (MILP)
- Quadratic Problem (QP)
- Non-Linear Problem (NLP)
- Non-Smooth Problem (NSP)
- Non-Linear Solve Problem (NLSP)
- Least Squares Problem (LSP)
- Linear Least Squares Problem (LLSP)
- Mini-Max Problem (MMP)
- Global Problem (GLP)
A variety of solvers is available (e.g. IPOPT, ALGENCAN).
| Distribution | Base version | Our version | Architectures |
|---|---|---|---|
| Debian GNU/Linux 10.0 (buster) | 0.38+svn1589-1.1 | ||
| Debian GNU/Linux 9.0 (stretch) | 0.38+svn1589-1.1 | 0.38+svn1589-1~nd70+1+nd90+1 | i386, amd64, sparc, armel |
| Debian unstable (sid) | 0.38+svn1589-1.1 | 0.38+svn1589-1~nd+1 | i386, amd64, sparc, armel |
| Ubuntu 16.04 “Xenial Xerus” (xenial) | 0.38+svn1589-1.1 | ||
| Ubuntu 18.04 “Bionic Beaver” (bionic) | 0.38+svn1589-1.1 |