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GIPALS is linear programming environment that
incorporates large-scale linear programs solver and easy, intuitive
graphical user interface to direct specify or import and solve any type of
constrained optimization problems arising in various industrial, financial
and educational areas.
A constrained optimization problem is stated as a
linear program that size can be unlimited.
The linear program solver is based on interior-point
method (Mehrotra predictor - corrector algorithm) and optimized for large
sparse linear programs. The solver exploits a
sparsity of the constraint matrix by implementing state-of-art ordering
algorithm to preserve the matrix sparsity and hence reduce the calculation
time dramatically. Almost every stage of the linear programming
calculation can be saved in the debug files or traced for the deep
analysis.
The user can specify the linear program constraints
in a dense form using the grids or in a sparse form using the particular
constraints editor. The dense form is suitable for small and medium linear
programs with non-zeros prevail over zeros. In this form the constraints
can be directly copied/pasted from/to MS Excel spreadsheets by Windows
clipboard. The sparse form is designed to specify / view / edit large
linear programs with tens and hundreds of thousand variables and
constraints. Any constraint can be disabled / enabled from the calculation
by the user at any time.
GIPALS can import linear programs from Mathematical
Programming System (MPS) data format that is an industry standard for the
description of a variety of linear programs. Any linear program specified
in GIPALS' user interface could be exported to MPS format.
The solution of the linear programs can be saved as CSV
(comma-delimited spreadsheet), Tab-delimited or HTML file.
Key features of GIPALS:
- Simple and natural 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
- Report the solutions in widely used formats including spreadsheets and HTML
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