Rajsekar Manokaran, Ph.D.
Affiliations: | 2012 | Computer Science | Princeton University, Princeton, NJ |
Area:
Uses of randomness in complexity theory and algorithms; Efficient algorithms for finding approximate solutions to NP-hard problems (or proving that they don't exist); Cryptography.Google:
"Rajsekar Manokaran"Parents
Sign in to add mentorSanjeev Arora | grad student | 2012 | Princeton | |
(Approximability and mathematical relaxations.) |
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Publications
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Dalmau V, Krokhin AA, Manokaran R. (2018) Towards a characterization of constant-factor approximable finite-valued CSPs Journal of Computer and System Sciences. 97: 14-27 |
Håstad J, Huang S, Manokaran R, et al. (2015) Improved NP-inapproximability for 2-variable linear equations Leibniz International Proceedings in Informatics, Lipics. 40: 341-360 |
Dalmau V, Krokhin A, Manokaran R. (2015) Towards a characterization of constant-factor approximable min CSPs Proceedings of the Annual Acm-Siam Symposium On Discrete Algorithms. 2015: 847-857 |
Makarychev K, Manokaran R, Sviridenko M. (2014) Maximum quadratic assignment problem: Reduction from maximum label cover and LP-based approximation algorithm Acm Transactions On Algorithms. 10 |
Austrin P, Manokaran R, Wenner C. (2013) On the NP-hardness of approximating ordering constraint satisfaction problems Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8096: 26-41 |
Arora S, Bhattacharyya A, Manokaran R, et al. (2012) Testing permanent oracles - Revisited Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7408: 362-373 |
Bhaskara A, Charikar M, Manokaran R, et al. (2012) On quadratic programming with a ratio objective Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7391: 109-120 |
Guruswami V, H̊Astad J, Manokaran R, et al. (2011) Beating the random ordering is hard: Every ordering csp is approximation resistant Siam Journal On Computing. 40: 878-914 |
Kumar A, Manokaran R, Tulsiani M, et al. (2011) On LP-based Approximability for strict CSPs Proceedings of the Annual Acm-Siam Symposium On Discrete Algorithms. 1560-1573 |
Charikar M, Guruswami V, Manokaran R. (2009) Every permutation CSP of arity 3 is approximation resistant Proceedings of the Annual Ieee Conference On Computational Complexity. 62-73 |