GIPALS32 - Linear Programming Library

Name: GIPALS32 - Linear Programming Library
Works on: windows

Windows 7 and above

Version: 3.5
Last Updated: 17 Apr 2017
Release: 15 Feb 2011
Category: Programming > Components Libraries

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GIPALS32 - Linear Programming Library Details

Works on: Windows 10 | Windows 8.1 | Windows 8 | Windows 7 | Windows 2012
SHA1 Hash: 524a5ba110d6a3f14f8a17f6844692bb2f448e33
Size: 684.28 KB
File Format: zip

Rating: 2.434782608 out of 5 based on 23 user ratings

Publisher Website: External Link
Downloads: 155
License: Demo / Trial Version

GIPALS32 - Linear Programming Library is a demo software by Optimalon Software Ltd. and works on Windows 10, Windows 8.1, Windows 8, Windows 7, Windows 2012.
You can download GIPALS32 - Linear Programming Library which is 684.28 KB in size and belongs to the software category Components Libraries.
GIPALS32 - Linear Programming Library was released on 2011-02-15 and last updated on our database on 2017-04-17 and is currently at version 3.5.

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GIPALS32 - Linear Programming Library 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.