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Title: Mosek  
Author: World Heritage Encyclopedia
Language: English
Subject: OptimJ, Sol (format), AIMMS, Nl (format), AMPL
Publisher: World Heritage Encyclopedia


Developer(s) MOSEK ApS
Stable release 7.0
Development status Active
Type Mathematical optimization
License Proprietary
Website .commosek

MOSEK is a software package for the solution of linear, mixed-integer linear, quadratic, mixed-integer quadratic, quadratically constraint, conic and convex nonlinear mathematical optimization problems. The emphasis in MOSEK is on solving large scale sparse problems. Particularly the interior-point optimizer for linear, conic quadratic (aka. Second-order cone programming) and semi-definite (aka. semidefinite programming) problems is very efficient. A special feature of the MOSEK interior-point optimizer is that it is based on the so-called homogeneous model which implies MOSEK can reliably detect a primal and/or dual infeasible status as documented in several published papers.[1][2][3]

In addition to the interior-point optimizer MOSEK includes:

  • Primal and dual simplex optimizer for linear problems.
  • A primal network simplex optimizer for problems with special network structure.
  • Mixed-integer optimizer for linear, quadratic and conic quadratic problems.

MOSEK provides interfaces to the C, C#, Java and Python languages. Most major modeling systems are made compatible for MOSEK, examples are: AIMMS, AMPL, and GAMS. MOSEK can also be used from popular tools such as matlab,[4] R,[5] CVX, and YALMIP.[6]


  1. ^ E. D. Andersen and Y. Ye. A computational study of the homogeneous algorithm for large-scale convex optimization. Computational Optimization and Applications, 10:243–269, 1998
  2. ^ E. D. Andersen and K. D. Andersen. The MOSEK interior point optimizer for linear programming: an implementation of the homogeneous algorithm.In H. Frenk, K. Roos, T. Terlaky, and S. Zhang, editors, High Performance Optimization, pages 197–232. Kluwer Academic Publishers, 2000
  3. ^ E. D. Andersen, C. Roos, and T. Terlaky. On implementing a primal-dual interior-point method for conic quadratic optimization. Math. Programming, 95(2), February 2003
  4. ^
  5. ^ Rmosek
  6. ^ MOSEK @ Yalmip homepage

External links

  • Mosek licensing options
    • 30-days trial license
    • Academic license

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