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Average-Case Complexity (Foundations and Trends(r) in Theoretical Computer Science) epub

by Andrej Bogdanov,Luca Trevisan


Average-Case Complexity (Foundations and Trends(r) in Theoretical Computer Science) epub

ISBN: 1933019492

ISBN13: 978-1933019499

Author: Andrej Bogdanov,Luca Trevisan

Category: Technology

Subcategory: Programming

Language: English

Publisher: Now Publishers Inc (December 10, 2006)

Pages: 124 pages

ePUB book: 1124 kb

FB2 book: 1898 kb

Rating: 4.9

Votes: 411

Other Formats: doc mbr azw lrf





Average-Case Complexity is a thorough survey of the average-case complexity of problems in N. Average-Case Complexity is intended for scholars and graduate students in the field of theoretical computer science.

Average-Case Complexity is intended for scholars and graduate students in the field of theoretical computer science. The reader will also discover a number of results, insights, and proof techniques whose usefulness goes beyond the study of average-case complexity.

a b c d e f A. Bogdanov and L. Trevisan, "Average-Case Complexity," Foundations and Trends in. .Foundations of Software Technology and Theoretical Computer Science, Lecture Notes in Computer Science, 652, Springer-Verlag, pp. 128–139. Trevisan, "Average-Case Complexity," Foundations and Trends in Theoretical Computer Science, Vol. 2, No 1 (2006) 1–106. D. Knuth, The Art of Computer Programming. Vol. 3, Addison-Wesley, 1973. Reischuk, Rüdiger; Schindelhauer, Christian (1993), "Precise average case complexity", Proc. 10th Annual Symposium on Theoretical Aspects of Computer Science, pp. 650–661.

Foundations and Trends R in Theoretical Computer Science Vol. 2, No 1 (2006) 1–106 c 2006 A. Trevisan DOI: 1. 561/0400000004. Average-Case Complexity. While the relation between worst-case and average-case complexity for general NP prob-lems remains open, there has been progress in understanding the rela-tion between dierent degrees of average-case complexity. We discuss some of these hardness amplication results.

Average-case complexity. A Bogdanov, L Trevisan. A lower bound for testing 3-colorability in bounded-degree graphs. A Bogdanov, K Obata, L Trevisan

Average-case complexity. Foundations and Trends® in Theoretical Computer Science 2 (1), 1-106, 2006. On worst-case to average-case reductions for NP problems. SIAM Journal on Computing 36 (4), 1119-1159, 2006. A Bogdanov, K Obata, L Trevisan. The 43rd Annual IEEE Symposium on Foundations of Computer Science, 200. 2002.

Foundations and trends in theoretical computer science, Theoretical computer science, FnT, FnT TCS. ISSN. We survey the average-case complexity of problems in NP. We discuss various notions of good-on-average algorithms, and present completeness results due to Impagliazzo and Levin. Such completeness results establish the fact that if a certain specific (but somewhat artificial) NP problem is easy-on-average with respect to the uniform distribution, then all problems in NP are easy-on-average with respect to all samplable distributions.

Foundations and Trends book. Goodreads helps you keep track of books you want to read. Start by marking Foundations and Trends: Average-Case Complexity as Want to Read: Want to Read savin. ant to Read. Proceedings 41st Annual Symposium on Foundations of Computer Science, 305-313, 2000. Approximating the minimum spanning tree weight in sublinear time. B Chazelle, R Rubinfeld, L Trevisan. SIAM Journal on computing 34 (6), 1370-1379, 2005.

FREE shipping on qualifying offers. Series: Foundations and Trends in Theoretical Computer Science (Book 32). Paperback: 206 pages

FREE shipping on qualifying offers. Communication Complexity (for Algorithm Designers) collects the lecture notes from the author's eponymous course taught at Stanford in the winter quarter of 2015. The two primary goals of the text are: (1) Learn several canonical problems in communication complexity that are useful for proving lower bounds for algorithms (Disjointness. Paperback: 206 pages. Publisher: Now Publishers Inc (April 8, 2016).

Bogdanov and L. Trevisan, Average-Case Complexity, Foundations and Trends in Theoretical Computer Science, Vol. 2, Hanover, MA: Now Publishers In. 2006. Book chapters or sections. L. Trevisan, "Learning Heavy Fourier Coefficients of Boolean Functions," in Encyclopedia of Algorithms, M. Y. Kao, E. Springer Reference, New York, NY: Springer US, 2008. R. Canetti, R. Rivest, M. Sudan, L. Trevisan, S. Vadhan, and H. Wee, "Amplifying collision resistance: A treatment," in Advances in Cryptology: Proc.

Average-Case Complexity is a thorough survey of the average-case complexity of problems in NP. The study of the average-case complexity of intractable problems began in the 1970s, motivated by two distinct applications: the developments of the foundations of cryptography and the search for methods to "cope" with the intractability of NP-hard problems. This survey looks at both, and generally examines the current state of knowledge on average-case complexity. Average-Case Complexity is intended for scholars and graduate students in the field of theoretical computer science. The reader will also discover a number of results, insights, and proof techniques whose usefulness goes beyond the study of average-case complexity.