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Oct 25

Mosek Aps Mosek v7.1.0.58

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Mosek Aps Mosek v7.1.0.58 | 192 MB

The MOSEK optimization software is designed to solve large-scale mathematical optimization problems. MOSEK is a tool for solving mathematical optimization problems such as: linear programs, quadratic programs, conic problems, mixed integer problems. For additional questions, contact our support or browse the online documentation.

Features:
Problem types MOSEK can solve
Linear
Conic quadratic
Semidefinite (Positive semidefinite matrix variables)
Quadratic and quadratically constrained
General convex nonlinear
Mixed integer linear, conic and quadratic
Technical highlights

Problem size limited only by the available memory.
Interior-point optimizer with basis identification.
Primal and dual simplex optimizers for linear programming.
Highly efficient presolver for reducing problem size before optimization.
Network-simplex for problems with network flow structure.
Branch&bound&cut algorithm for mixed integer problems.
Strengths of MOSEK

The strong point of MOSEK is its state-of-the-art interior-point optimizer for continous linear, quadratic and conic problems.

Parallel capabilities
The interior-point optimizer is capable of exploiting multiple CPUs/cores. A concurrent optimizer is available that makes it possible to solve one problem with different optimizers simultaneously. The default mixed integer optimizer is parallelized and is run-to-run deterministic.

Other features of MOSEK
Reads and writes industry standard formats such as the MPS and LP formats. Includes tools for infeasibility diagnosis and repair. Sensitivity analysis for linear problems.

Deployment
The MOSEK optimizer includes several interfaces.

Developer APIs
An API provides homogeneous full access to all solvers from several programming languages:

Optimizer API : the most efficient, low-level, matrix oriented interface to the optimizer.
Fusion API: an object orientated API that allows to express an optimization models very closely to the way it is formulated.

API C/C++ Java .NET Python Matlab
Optimizer Yes Yes Yes Yes No
Fusion No Yes Yes Yes Yes

MATLAB optimization toolbox
Other various third party tools and products such as R.

Whats New :
Updates: official site does not provide any info about changes in this version

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