Duality Theory
Duality Theory is a theoretical framework in constrained optimization that establishes the relationship between a primal problem and its dual counterpart, characterizing how the solutions and optimal values of these interrelated problems provide bounds and insights into the original optimization task.
3.9K
Publications
230.6K
Citations
5.2K
Authors
1.7K
Institutions
Publications per year
2017–2026
631
3.9K
F. Y. Wu · Reviews of Modern Physics · 1982 · 3.6K citations
Decomposition Principle for Linear Programs
George B. Dantzig, Philip Wolfe · Operations Research · 1960 · 2.3K citations
1–5 of 3.9K
5.2K
22
h-index
22
h-index
22
h-index
18
h-index
18
h-index
1–5 of 5.2K
1.7K
Massachusetts Institute of Technology
Cambridge, United States
34 h-index
71 publications
4.9K citations

Centre National de la Recherche Scientifique
Paris, France
32 h-index
99 publications
11K citations
Stanford University
Stanford, United States
30 h-index
60 publications
7.3K citations
University of California, Berkeley
Berkeley, United States
29 h-index
63 publications
7.4K citations
Georgia Institute of Technology
Atlanta, United States
28 h-index
83 publications
4.2K citations
Rutgers, The State University of New Jersey
New Brunswick, United States
28 h-index
43 publications
8.4K citations

European Organization for Nuclear Research
Geneva, Switzerland
24 h-index
41 publications
4.4K citations

UNSW Sydney
Sydney, Australia
24 h-index
52 publications
2.3K citations
1–8 of 1.7K
135 publications · 10.4K citations
57
h-index
143 publications · 12.4K citations
56
h-index
148 publications · 5.4K citations
41
h-index
145 publications · 6.9K citations
40
h-index
JHEP · 93 publications · 6K citations
38
h-index
1–5