Dantzig-wolfe Decomposition
Dantzig-Wolfe Decomposition is a mathematical optimization technique that decomposes a large-scale linear program into a master problem and subproblems by exploiting block-angular structure, enabling efficient solution through column generation and reformulation of the original problem into a set of simpler, linked submodels.
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13.1K
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385
Authors
191
Institutions
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2017–2026
27
Parents
188
Selected Topics in Column Generation
Marco E. Lübbecke, Jacques Desrosiers · Operations Research · 2005 · 1.1K citations
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Illinois Institute of Technology
Chicago, United States
7 h-index
15 publications
1.3K citations

Polytechnique Montréal
Montreal, Canada
5 h-index
10 publications
918 citations
Group for Research in Decision Analysis
Montreal, Canada
5 h-index
11 publications
2.7K citations
HEC Montréal
Montreal, Canada
5 h-index
6 publications
1.6K citations
University of Copenhagen
Copenhagen, Denmark
5 h-index
14 publications
2.2K citations
IBM (United States)
Armonk, United States
4 h-index
8 publications
509 citations

University of Waterloo
Waterloo, Canada
4 h-index
6 publications
108 citations
Stanford University
Stanford, United States
4 h-index
4 publications
79 citations
1–8 of 191
24 publications · 4.6K citations
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15 publications · 1.2K citations
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14 publications · 1.1K citations
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10 publications · 738 citations
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6 publications · 607 citations
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