MOSEK 數學分析軟體-資安軟體/研究分析軟體/心理學軟體/新永資訊有限公司

MOSEK 數學分析軟體

MOSEK  數學分析軟體

  • MOSEK 數學分析軟體
  • 編號
  • 類別
  • 介紹
    MOSEK Optimization Tools :大規模級別數學優化軟體  MOSEK Optimization Tools 是一款用來解決大規模級別數學優化問題的軟體。 MOSEK提供了特定解決線性編程、混合整數編程以及其他非線性轉換優化問題。
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MOSEK  數學分析軟體

MOSEK Optimization Tools :大規模級別數學優化軟體 
MOSEK Optimization Tools 是一款用來解決大規模級別數學優化問題的軟體。

The MOSEK optimization software is designed to solve large-scale mathematical optimization problems.
Problem types MOSEK can solve:
·   Linear problems.
·   Conic quadratic problems.
·   Quadratic and quadratically constrained problems.
·   General convex nonlinear problems. 
·   Mixed integer linear, conic and quadratic problems.
Technical highlights of MOSEK are:
·   Problem size is only limited by the available memory.
·   An interior-point optimizer with basis identification.
·   Both primal and dual simplex optimizers for linear programming.
·   Highly efficient presolve  for reducing problem size before optimization.
·   A special optimizer is available for problems with network flow structure.
·   For mixed integer problems MOSEK implements a branch & bound & cut algorithm.
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.
Other features of MOSEK:
·   Reads and writes industry standard formats such as MPS, LP and XML.
·   Includes tools for infeasibility diagnosis and repair.
·   Sensitivity analysis for linear problems.
Deployment of MOSEK
The MOSEK optimizer comes with native support for many different programming languages. Click below for details.
·   C/C++.
·   Command line tool capable of reading and writing standard text files.
·   Java.
·   MATLAB Toolbox.
·   .NET (C#/Visual basic).
·   Python.
All interfaces are included with a MOSEK license enabling easy deployment in any setting. MOSEK is supported on many platforms
We have over a decade of experience providing support to our worldwide customer base.

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