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Author
R. T. Rockafellar
also known as R Tyrrell Rockafellar, R. Rockafellar, R. T. ROCKAFELLAR
University of Washington · University of Washington Applied Physics Laboratory · Dai Nippon Printing (Japan) · U.S. National Science Foundation
About this author
Works
303
Cited by
55,679
h-index
87
i10
198
ORCID ↗
Top papers
Convex Analysis
R. T. Rockafellar
·
1970
·
Princeton University Press eBooks
↗ 10,543
Optimization of conditional value-at-risk
R. T. Rockafellar, Stan Uryasev
·
2000
·
The Journal of Risk
↗ 6,370
Variational Analysis
R. T. Rockafellar, Roger J.‐B. Wets
·
1998
·
Grundlehren der mathematischen Wissenschaften
↗ 3,843
Conditional value-at-risk for general loss distributions
R. T. Rockafellar, Stan Uryasev
·
2002
·
Journal of Banking & Finance
↗ 3,643
Monotone Operators and the Proximal Point Algorithm
R. T. Rockafellar
·
1976
·
SIAM Journal on Control and Optimization
↗ 3,605
Scenarios and Policy Aggregation in Optimization Under Uncertainty
R. T. Rockafellar, Roger J.‐B. Wets
·
1991
·
Mathematics of Operations Research
↗ 1,325
OA
Augmented Lagrangians and Applications of the Proximal Point Algorithm in Convex Programming
R. T. Rockafellar
·
1976
·
Mathematics of Operations Research
↗ 1,205
On the maximality of sums of nonlinear monotone operators
R. T. Rockafellar
·
1970
·
Transactions of the American Mathematical Society
↗ 905
1. Conjugate Duality and Optimization
R. T. Rockafellar
·
1974
·
Society for Industrial and Applied Mathematics eBooks
↗ 902
Conjugate Duality and Optimization
R. T. Rockafellar
·
1974
·
Society for Industrial and Applied Mathematics eBooks
↗ 753
On the maximal monotonicity of subdifferential mappings
R. T. Rockafellar
·
1970
·
Pacific Journal of Mathematics
↗ 734
OA
The multiplier method of Hestenes and Powell applied to convex programming
R. T. Rockafellar
·
1973
·
Journal of Optimization Theory and Applications
↗ 710
Books
Conjugate duality and optimization
1974
·
Society for Industrial and Applied Mathematics
Conjugate Duality and Optimization
1974
Navier--Stokes Equations
2016
·
Elsevier Science & Technology Books