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decomp: an implementation of dantzig-wolfe decomposition for linear programming
James K. Ho
(Author)
·
Rangaraja P. Sundarraj
(Author)
·
Springer
· Paperback
decomp: an implementation of dantzig-wolfe decomposition for linear programming - Ho, James K. ; Sundarraj, Rangaraja P.
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Synopsis "decomp: an implementation of dantzig-wolfe decomposition for linear programming"
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.
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The book is written in English.
The binding of this edition is Paperback.
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