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DECOMP: an Implementation of Dantzig-Wolfe Decomposition for Linear Programming James K. Ho

DECOMP: an Implementation of Dantzig-Wolfe Decomposition for Linear Programming By James K. Ho

DECOMP: an Implementation of Dantzig-Wolfe Decomposition for Linear Programming by James K. Ho


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Summary

For linear optimization models that can be formulated as linear programs with the block-angular structure, i.e. It can also be used as supplemental material in a second course in linear programming, computational mathematical programming, or large-scale systems.

DECOMP: an Implementation of Dantzig-Wolfe Decomposition for Linear Programming Summary

DECOMP: an Implementation of Dantzig-Wolfe Decomposition for Linear Programming by James K. Ho

For linear optimization models that can be formulated as linear programs with the block-angular structure, i.e. independent subproblems with coupling constraints, the Dantzig-Wolfe decomposition principle provides an elegant framework of solution algorithms as well as economic interpretation. This monograph is the complete documentation of DECOMP: a robust implementation of the Dantzig-Wolfe decomposition method in FORTRAN. The code can serve as a very convenient starting point for further investigation, both computational and economic, of parallelism in large-scale systems. It can also be used as supplemental material in a second course in linear programming, computational mathematical programming, or large-scale systems.

Table of Contents

Specifications for a Robust Code.- Program Subroutines.- Portability Issues.- User's Guide.

Additional information

NLS9780387971544
9780387971544
0387971548
DECOMP: an Implementation of Dantzig-Wolfe Decomposition for Linear Programming by James K. Ho
New
Paperback
Springer-Verlag New York Inc.
1989-11-22
206
N/A
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