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S. Muthukrishnan (auth.), Hung Q. Ngo (eds.)'s Computing and Combinatorics: 15th Annual International PDF

By S. Muthukrishnan (auth.), Hung Q. Ngo (eds.)

ISBN-10: 3642028810

ISBN-13: 9783642028816

ISBN-10: 3642028829

ISBN-13: 9783642028823

This quantity constitutes the refereed court cases of the fifteenth foreign Computing and Combinatorics convention, COCOON 2009, held in big apple, long island, united states in July 2009. The fifty one revised prolonged abstracts offered have been conscientiously reviewed and chosen from a hundred twenty five submissions. The papers are geared up in topical sections on algorithmic video game conception and coding idea, algorithms and information constructions, graph drawing, algorithms and knowledge constructions, cryptography and safety, algorithms, computational geometry, approximation algorithms, computational biology and bioinformatics, sampling and studying, complexity and computability, probabilistic research, and algorithms and information structures.

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Read Online or Download Computing and Combinatorics: 15th Annual International Conference, COCOON 2009 Niagara Falls, NY, USA, July 13-15, 2009 Proceedings PDF

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Extra resources for Computing and Combinatorics: 15th Annual International Conference, COCOON 2009 Niagara Falls, NY, USA, July 13-15, 2009 Proceedings

Sample text

This paper deals with quantifying the “smallness” of the list size. Before we state our results more precisely, we quickly set up some notation (see Section 2 for more details). A code introduces redundancy by mapping a message to a (longer) codeword. The redundancy of a code is measured by its rate, which is the ratio of the the number of information symbols in the message to that in the codeword. Thus, for a code with encoding function E : Σ k → Σ n , the rate equals k/n. The block length of the code equals n, and Σ is its alphabet.

1) are not potential games, while in Section 6, we address open problems and further research. Due to space limitations, some proofs are omitted. 20 2 V. Bil` o et al. Definitions and Notation For any n ∈ IN , let [n] := {1, . . , n}. Given an n-tuple A = (a1 , . . , an ), we write (A−i , x) to denote the n-tuple obtained from A by replacing ai with x. For the ease of notation, we write x ∈ A when there exists an index i ∈ [n] such that ai = x. A metric space is a pair (X, d) where X is a set of points or locations and d : X × X → IR≥0 is a distance or metric function such that for any x, y, z ∈ X it holds (i) d(x, y) ≥ 0, (ii) d(x, y) = 0 ⇔ x = y, (iii) d(x, y) = d(y, x) (symmetry), and (iv) d(x, y) ≤ d(x, z) + d(z, y) (triangular inequality).

For any m = (m1 , . . , mL ) ∈ M and y ∈ [q]n , define the indicator variable Xm,y as follows3 : Xm,y = 1 if and only if {C(m1 ), . . , C(mL )} ⊆ B(y). Note that if Xm,y = 1 then m and y form a “witness” to the fact that the code C needs to have an output list size of at least L. We also define a related 1. indicator random variable: Ym = 1 if and only if y∈H Xm,y Finally define the following random variable: Z = m∈M Ym . Note that to prove Lemma 2 it suffices to show that with high probability Z 1.

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Computing and Combinatorics: 15th Annual International Conference, COCOON 2009 Niagara Falls, NY, USA, July 13-15, 2009 Proceedings by S. Muthukrishnan (auth.), Hung Q. Ngo (eds.)

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