DECOMP: an Implementation of Dantzig-Wolfe Decomposition for Linear Programming - Rangaraja P. Sundarraj,James K. Ho
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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 m ... Pilns apraksts
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Aprašymas
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.
Vairāk informācijas
| Autors | Rangaraja P. Sundarraj, James K. Ho |
|---|---|
| Izdevējs | Springer US |
| Series | Lecture Notes in Economics and Mathematical Systems |
| Izlaides gads | 1989 |
| Vāka tips | Mīkstais vāks |
| EAN | 9780387971544 |