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Mosek.ApS.Mosek.v7.1.0.36
  • 软件大小:81.8 MB
  • 推荐星级:
  • 更新时间:2015-09-13 08:35:55
  • 软件类别:国外软件 / 数学软件
  • 软件语言:英文
  • 联系方式:ygqhcad@163.com
  • 官方主页:Home Page
  • QQ、手机:没有预览图片
  • 运行环境:XP/WIN7

软件简介

  The MOSEK optimization software is designed to solve large-scale            
  mathematical optimization problems. MOSEK main features are listed below.   
  For additional questions, contact our support or browse the online          
  documentation.                                                              
  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.               
      Branchandboundandcut 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. 

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