GIPALS32 - Linear Programming Library 1.2 - Linear programming library for constrained optimization.

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Software Hypermarket >> Software Development >> Component & Library >> GIPALS32 - Linear Programming Library

GIPALS32 - Linear Programming Library Version: 1.2

Rating: N/A

Author Company: Optimalon Software

Linear programming library for constrained optimization.

Box picture of software :GIPALS32 - Linear Programming Library

Price: $ 245.00

File Size: 0.43 M

Update Date: 11/10/2005 9:05:32 AM

Language: English

License: Shareware

Downloads: 120

Limitations: 30 Days

OS: Win95/Win98/WinMe/WinNT 4.x/WinXP

Requirements: No special requirements

Contact the author: info@optimalon.com

Support Email: support@optimalon.com Support Phone: N/A

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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 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.

Main Feature:

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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