The MOSEK Optimization Software

The MOSEK Optimization Software is designed to solve large-scale mathematical optimization problems. MOSEK provides specialized solvers for linear programming, mixed integer programming and many types of nonlinear convex optimization problems.

MOSEK can solve:

Linear problems
Conic quadratic problems
Convex quadratic problems
General convex problems
Mixed integer problems

Interfaces included in MOSEK:

Complete native interfaces for: C/C++, .NET, Java and Python.
Optimization toolbox for MATLAB.

Technical highlights of MOSEK are:

For continuous problems MOSEK implements both simplex and interior-point based algorithms.
For mixed integer problems MOSEK implements a branch & bound & cut algorithm.
MOSEK is capable of exploiting multiple processors.

For more information about MOSEK click here.

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MOSEK version 5 is released.

New features include:

Improved performance.
Efficient network flow optimizer.
Conic mixed integer problems.
A Python interface.
Simplified license installation.
Reworked documentation.

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Latest News

4.02.08
MOSEK version 5.0.0.79.

9.01.08
Announcing availability of OptimJ for MOSEK.

25.10.07
Informs Annual Meeting 2007.

11.10.07
MOSEK Version 5.0.0.60

14.09.07
MATLAB R2007b

Mosek ApS - Fruebjergvej 3, Box 16 - 2100 Copenhagen O - Denmark - Ph.: +45 39 17 99 07 - Fax: +45 39 17 98 23 - Email: info@mosek.com