Primal Linear Programming
Primal Linear Programming is a canonical optimization framework in linear programming that belongs to the class of mathematical programming models, distinguished by its formulation of a primary objective function and constraints aimed at maximizing or minimizing a linear function subject to linear equality and inequality constraints.
195
Publications
12K
Citations
321
Authors
160
Institutions
Publications per year
2017–2026
11
Parents
195
1–5 of 195
321
11
h-index
Rutgers, The State University of New Jersey, United States
9 publications · 1.3K citations
9
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7
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7
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7
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1–5 of 321
160
Georgia Institute of Technology
Atlanta, United States
9 h-index
12 publications
1.2K citations

Cornell University
Ithaca, United States
8 h-index
9 publications
1.3K citations
The Institute of Statistical Mathematics
Tokyo, Japan
8 h-index
8 publications
1.2K citations
Rutgers, The State University of New Jersey
New Brunswick, United States
8 h-index
10 publications
1.2K citations
Princeton University
Princeton, United States
7 h-index
7 publications
926 citations
University of Iowa
Iowa City, United States
7 h-index
10 publications
867 citations

Delft University of Technology
Delft, The Netherlands
7 h-index
18 publications
830 citations
University of Geneva
Geneva, Switzerland
6 h-index
7 publications
826 citations
1–8 of 160
15 publications · 775 citations
14
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15 publications · 1.6K citations
14
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15 publications · 1.7K citations
12
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8 publications · 397 citations
8
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6 publications · 301 citations
6
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1–5