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Linear
Programming MT
Linear Programming MT Module solves the standard linear programming
problem with the following NEW and CUTTING-EDGE features:
- Thread-safe Execution:
Control variables are model matrices are contained in structures allowing thread-safe
execution of programs.
- Sparse matrices: Linear
Programming MT exploits sparse matrix technology permitting the analysis of
problems with very large constraint matrices. The size of a problem that can
be analyzed is dependent on the speed and amount of memory on the computer,
but problems with two to three thousand constraints and more than six thousand
variables have been tested on ordinary PC's.
- MPS files: procedures
are available for translating MPS formatted files.
Other Product Features
LPMT is designed to solve small and large scale linear programming problems.
LPMT can be initialized with a starting value, such as the solution to a
previous problem which is similar to the one being solved. This feature can
dramatically reduce the number of iterations required to find a feasible
starting point.
Features
- Upper and lower finite
bounds can be provided for variables and constraints
- Problem type (minimization
or maximization)
- Constraint types (<=,
>=, =)
- Choice of tolerances
- Pivoting rules
Computes
- The value of the variables
and the objective function upon termination, and
returns the dual variables
- State of each constraint
- Uniqueness and quality
of solution
- Multiple optimal solutions
if they exist
- Number of iterations
required
- A final basis
- Can generate iterations
log and/or final report, if requested
Platform: Windows, LINUX and UNIX.
Requirements: GAUSS/GAUSS Light version 6.0 or higher.
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