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GIPALS32 - Linear Programming Library 3.0

Linear programming library for constrained optimization.
Last updated: July 23, 2009
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GIPALS32 - Linear Programming Library 3.0 Summary:

Publisher: Optimalon Software
Rating:
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  • Windows - 766KB
  • Licence: Shareware, $179.00 to buy
  • Date Added: July 15, 2009
  • Release status: New Release

GIPALS32 - Linear Programming Library 3.0 Description:

Linear programming library that incorporates the power of linear programming solver and simplicity of integration to any software tools like Ms Visual C++, Ms Visual C# .Net, Ms Visual Basic, Borland Delphi and other that support a DLL import. The maximum number of constraints and variables is unlimited.

Software OS: Win95,Win98,WinME,WinNT 3.x,WinNT 4.x,Windows2000,WinXP...
Setup Filename: gipals32.zip
System Requirements:

GIPALS32 - Linear Programming Library 3.0 Tags:

linear programming library,linear programming,library,linear program,constrained optimization,optimization,matrix,primal dual,interior point,constraint,mps,gipals32,lp

GIPALS32 - Linear Programming Library 3.0 Full Description:

GIPALS32 is a linear programming library that incorporates the power of linear programming solver and simplicity of integration to any software tools like Ms Visual C++, Ms Visual C# .Net, Ms Visual Basic, Borland Delphi and other that support a DLL import. The maximum number of constraints and variables is unlimited.

The linear program solver is based on Interior-Point method (Mehrotra predictor-corrector algorithm) and optimized for large sparse linear programs by implementing the state-of-art algorithm to order the constraints matrix.

The user can specify the linear program using a set of exported DLL functions. Also GIPALS32 provides an import of linear programs from Mathematical Programming System (MPS) data format that is an industry standard for the description of a variety of linear programs.

Key features of GIPALS32:

UNLIMITED linear program size;
No external components or DLL are required;
Simple way to specify a linear program without any special mathematical knowledge;
Robust Interior-Point method for fast and reliable solution;
Support the industrial standard format of linear programs.


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