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 m...
Gespeichert in:
Hauptverfasser: | , |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
New York, NY
Springer New York
1989
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Ausgabe: | 1st ed. 1989 |
Schriftenreihe: | Lecture Notes in Economics and Mathematical Systems
338 |
Schlagworte: | |
Online-Zugang: | BTU01 Volltext |
Zusammenfassung: | 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 |
Beschreibung: | 1 Online-Ressource (VI, 206 p) |
ISBN: | 9781468493979 |
DOI: | 10.1007/978-1-4684-9397-9 |
Internformat
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520 | |a 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 | ||
650 | 4 | |a Operations Research/Decision Theory | |
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author | Ho, James K. Sundarraj, Rangaraja P. |
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dewey-full | 658.40301 |
dewey-hundreds | 600 - Technology (Applied sciences) |
dewey-ones | 658 - General management |
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discipline | Mathematik Wirtschaftswissenschaften |
discipline_str_mv | Mathematik Wirtschaftswissenschaften |
doi_str_mv | 10.1007/978-1-4684-9397-9 |
edition | 1st ed. 1989 |
format | Electronic eBook |
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spelling | Ho, James K. Verfasser aut DECOMP: an Implementation of Dantzig-Wolfe Decomposition for Linear Programming by James K. Ho, Rangaraja P. Sundarraj 1st ed. 1989 New York, NY Springer New York 1989 1 Online-Ressource (VI, 206 p) txt rdacontent c rdamedia cr rdacarrier Lecture Notes in Economics and Mathematical Systems 338 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 Operations Research/Decision Theory Economic Theory/Quantitative Economics/Mathematical Methods Processor Architectures Programming Techniques Operations research Decision making Economic theory Microprocessors Computer programming DECOMP (DE-588)4226302-5 gnd rswk-swf Dekomposition (DE-588)4149030-7 gnd rswk-swf DECOMP (DE-588)4226302-5 s DE-604 Dekomposition (DE-588)4149030-7 s Sundarraj, Rangaraja P. aut Erscheint auch als Druck-Ausgabe 9780387971544 Erscheint auch als Druck-Ausgabe 9781468493986 https://doi.org/10.1007/978-1-4684-9397-9 Verlag URL des Erstveröffentlichers Volltext |
spellingShingle | Ho, James K. Sundarraj, Rangaraja P. DECOMP: an Implementation of Dantzig-Wolfe Decomposition for Linear Programming Operations Research/Decision Theory Economic Theory/Quantitative Economics/Mathematical Methods Processor Architectures Programming Techniques Operations research Decision making Economic theory Microprocessors Computer programming DECOMP (DE-588)4226302-5 gnd Dekomposition (DE-588)4149030-7 gnd |
subject_GND | (DE-588)4226302-5 (DE-588)4149030-7 |
title | DECOMP: an Implementation of Dantzig-Wolfe Decomposition for Linear Programming |
title_auth | DECOMP: an Implementation of Dantzig-Wolfe Decomposition for Linear Programming |
title_exact_search | DECOMP: an Implementation of Dantzig-Wolfe Decomposition for Linear Programming |
title_exact_search_txtP | DECOMP: an Implementation of Dantzig-Wolfe Decomposition for Linear Programming |
title_full | DECOMP: an Implementation of Dantzig-Wolfe Decomposition for Linear Programming by James K. Ho, Rangaraja P. Sundarraj |
title_fullStr | DECOMP: an Implementation of Dantzig-Wolfe Decomposition for Linear Programming by James K. Ho, Rangaraja P. Sundarraj |
title_full_unstemmed | DECOMP: an Implementation of Dantzig-Wolfe Decomposition for Linear Programming by James K. Ho, Rangaraja P. Sundarraj |
title_short | DECOMP: an Implementation of Dantzig-Wolfe Decomposition for Linear Programming |
title_sort | decomp an implementation of dantzig wolfe decomposition for linear programming |
topic | Operations Research/Decision Theory Economic Theory/Quantitative Economics/Mathematical Methods Processor Architectures Programming Techniques Operations research Decision making Economic theory Microprocessors Computer programming DECOMP (DE-588)4226302-5 gnd Dekomposition (DE-588)4149030-7 gnd |
topic_facet | Operations Research/Decision Theory Economic Theory/Quantitative Economics/Mathematical Methods Processor Architectures Programming Techniques Operations research Decision making Economic theory Microprocessors Computer programming DECOMP Dekomposition |
url | https://doi.org/10.1007/978-1-4684-9397-9 |
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