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个人简介
Vazirani has made seminal contributions to several areas of the theory of algorithms and computational complexity; in particular, algorithmic matching theory, combinatorial optimization, approximation algorithms, and algorithmic game theory. He is one of the founders of algorithmic game theory, focusing on the computability of market equilibria. His current research is centered on matching-based market design.
Vazirani is a Guggenheim Fellow, an ACM Fellow and the recipient of the 2022 INFORMS John von Neumann Theory Prize. He is the author of the now-classic book, Approximation Algorithms.
Vazirani is a Guggenheim Fellow, an ACM Fellow and the recipient of the 2022 INFORMS John von Neumann Theory Prize. He is the author of the now-classic book, Approximation Algorithms.
研究兴趣
论文共 329 篇作者统计合作学者相似作者
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Mathematics of Operations Research (2024)
CoRR (2024)
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CoRR (2023)
arXiv (Cornell University) (2023)
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作者统计
#Papers: 330
#Citation: 23245
H-Index: 54
G-Index: 150
Sociability: 6
Diversity: 2
Activity: 5
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