Smoothed Analysis

Author:

Spielman Daniel A.,Teng Shang-Hua

Publisher

Springer Berlin Heidelberg

Reference31 articles.

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3. Alon, N.: Testing subgraphs in large graphs. In: IEEE (ed.) Proceedings of the 42nd IEEE Symposium on Foundations of Computer Science: proceedings, pp. 434–439 (2001)

4. Blum, A., Dunagan, J.: Smoothed analysis of the perceptron algorithm for linear programming. In: Proceedings of the 13th Annual ACM SIAM Symposium On Discrete Mathematics (SODA 2002), pp. 905–914. ACM Press, New York (2002)

5. Lecture Notes in Computer Science;P. Bose,1998

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1. Algorithms and Certificates for Boolean CSP Refutation: Smoothed Is No Harder than Random;SIAM Journal on Computing;2024-09-05

2. Algorithms and certificates for Boolean CSP refutation: smoothed is no harder than random;Proceedings of the 54th Annual ACM SIGACT Symposium on Theory of Computing;2022-06-09

3. Cycles and Matchings in Randomly Perturbed Digraphs and Hypergraphs;Combinatorics, Probability and Computing;2016-03-14

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