Large-scale Linear Programming
Large-Scale Linear Programming is a specialized form of mathematical optimization within linear programming that addresses problems involving a vast number of decision variables and constraints, distinguished by the computational and algorithmic challenges arising from the problem's high dimensionality and sparsity structure.
232
Publications
16.7K
Citations
457
Authors
235
Institutions
Publications per year
2017–2026
38
Parents
232
Decomposition Principle for Linear Programs
George B. Dantzig, Philip Wolfe · Operations Research · 1960 · 2.3K citations
Selected Topics in Column Generation
Marco E. Lübbecke, Jacques Desrosiers · Operations Research · 2005 · 1.1K citations
A Modeling Language for Mathematical Programming
Robert Fourer, David M. Gay, Brian W. Kernighan · Management Science · 1990 · 651 citations
1–5 of 232
457
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Rutgers, The State University of New Jersey, United States
4 publications · 201 citations
4
h-index
1–5 of 457
235
Stanford University
Stanford, United States
7 h-index
9 publications
970 citations
Carnegie Mellon University
Pittsburgh, United States
6 h-index
8 publications
338 citations
Georgia Institute of Technology
Atlanta, United States
6 h-index
8 publications
733 citations

University of Edinburgh
Edinburgh, United Kingdom
6 h-index
14 publications
421 citations
Princeton University
Princeton, United States
6 h-index
6 publications
918 citations
University of California, Berkeley
Berkeley, United States
6 h-index
8 publications
594 citations
The University of Texas at Austin
Austin, United States
6 h-index
10 publications
297 citations

Rice University
Houston, United States
5 h-index
5 publications
1.1K citations
1–8 of 235
15 publications · 1.6K citations
14
h-index
13 publications · 5K citations
13
h-index
11 publications · 1.4K citations
11
h-index
6 publications · 315 citations
7
h-index
5 publications · 114 citations
6
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1–5