Large-scale Integer Programming
Large-Scale Integer Programming is an optimization methodology that belongs to the class of integer programming problems, distinguished by its focus on mathematical models involving a large number of integer variables and constraints, where the scale necessitates specialized algorithms and computational techniques to achieve tractable solutions.
162
Publications
13.3K
Citations
434
Authors
215
Institutions
Publications per year
2017–2026
31
Parents
162
Branch-and-Price: Column Generation for Solving Huge Integer Programs
Cynthia Barnhart, Ellis L. Johnson, George L. Nemhauser et al. · Operations Research · 1998 · 2.2K citations
Selected Topics in Column Generation
Marco E. Lübbecke, Jacques Desrosiers · Operations Research · 2005 · 1.1K citations
An Algorithm for Large Zero-One Knapsack Problems
Egon Balas, Eitan Zemel · Operations Research · 1980 · 471 citations
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434
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215
Georgia Institute of Technology
Atlanta, United States
8 h-index
22 publications
14.4K citations
Carnegie Mellon University
Pittsburgh, United States
4 h-index
6 publications
902 citations
Princeton University
Princeton, United States
4 h-index
8 publications
472 citations
University of Science and Technology of China
Hefei, China
4 h-index
6 publications
273 citations
Group for Research in Decision Analysis
Montreal, Canada
3 h-index
6 publications
1.2K citations
IBM Research - Thomas J. Watson Research Center
Yorktown Heights, United States
3 h-index
5 publications
1.6K citations
Argonne National Laboratory
Lemont, United States
3 h-index
7 publications
251 citations
The University of Texas at Austin
Austin, United States
3 h-index
4 publications
69 citations
1–8 of 215
15 publications · 5.2K citations
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11 publications · 1.2K citations
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10 publications · 393 citations
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7 publications · 349 citations
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7 publications · 545 citations
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