Convex Feasibility Problems
Convex Feasibility Problems is a class of mathematical optimization problems in which the goal is to find a point in the intersection of a finite number of closed convex sets, distinguishing it from other optimization problems by focusing solely on feasibility rather than minimizing an objective function.
528
Publications
33.5K
Citations
923
Authors
497
Institutions
Publications per year
2017–2026
117
Variants
Convex Feasibility Problem
Parents
528
On Projection Algorithms for Solving Convex Feasibility Problems
Heinz H. Bauschke, Jonathan M. Borwein · SIAM Review · 1996 · 1.7K citations
Computing, Mathematics, Algorithms +11
Most Tensor Problems Are NP-Hard
Christopher J. Hillar, Lek‐Heng Lim · Journal of the ACM · 2013 · 1.1K citations
The multiple-sets split feasibility problem and its applications for inverse problems
Yair Censor, Tommy Elfving, Nirit Kopf et al. · Inverse Problems · 2005 · 703 citations
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University of British Columbia, Okanagan Campus, Canada
13 publications · 2.4K citations
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10
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8
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497
University of Haifa
Haifa, Israel
21 h-index
36 publications
4K citations
Carmel (Israel)
Haifa, Israel
15 h-index
22 publications
3.3K citations
Technion – Israel Institute of Technology
Haifa, Israel
15 h-index
30 publications
1.6K citations
City University of New York
New York, United States
10 h-index
17 publications
1.9K citations

University of Alicante
Alicante, Spain
10 h-index
14 publications
343 citations
Tokyo Institute of Technology
Tokyo, Japan
10 h-index
19 publications
1.4K citations

Universitatea Națională de Știință și Tehnologie Politehnica București
Bucharest, Romania
9 h-index
13 publications
737 citations

University of Nigeria
Nsukka, Nigeria
9 h-index
10 publications
320 citations
1–8 of 497
49 publications · 4.1K citations
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24 publications · 852 citations
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25 publications · 1.3K citations
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21 publications · 925 citations
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15 publications · 1.9K citations
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