Lagrange Multipliers
Lagrange Multipliers is a mathematical method in optimization theory that introduces auxiliary variables, called Lagrange multipliers, to transform a constrained optimization problem into an unconstrained one by incorporating the constraints into the objective function via a linear combination, thereby enabling the identification of stationary points under equality constraints.
2.3K
Publications
151.2K
Citations
4.4K
Authors
1.5K
Institutions
Publications per year
2017–2026
419
Variants
Method Of Lagrange Multipliers
2.3K
1–5 of 2.3K
4.4K
22
h-index
18
h-index
15
h-index
13
h-index
11
h-index
1–5 of 4.4K
1.5K

Centre National de la Recherche Scientifique
Paris, France
26 h-index
122 publications
7.9K citations
Stanford University
Stanford, United States
23 h-index
54 publications
2.9K citations
University of Colorado Boulder
Boulder, United States
22 h-index
65 publications
5.6K citations
University of Illinois Urbana-Champaign
Urbana, United States
20 h-index
50 publications
3.2K citations

University of Minnesota
Minneapolis, United States
19 h-index
41 publications
2.9K citations
Technical University of Munich
Munich, Germany
16 h-index
46 publications
3.3K citations
University of Stuttgart
Stuttgart, Germany
16 h-index
34 publications
1.7K citations
University of California, Berkeley
Berkeley, United States
15 h-index
29 publications
2.6K citations
1–8 of 1.5K
121 publications · 8.4K citations
44
h-index
49 publications · 3.7K citations
33
h-index
37 publications · 2K citations
26
h-index
44 publications · 2.1K citations
24
h-index
33 publications · 2.3K citations
24
h-index
1–5