Probabilistic analysis of algorithms

Results: 137



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21arXiv:1209.5993v4 [cs.CC] 11 SepGeometric Complexity Theory V: Equivalence between blackbox derandomization of polynomial identity testing and derandomization of Noether’s Normalization Lemma Dedicated to Sri Ra

arXiv:1209.5993v4 [cs.CC] 11 SepGeometric Complexity Theory V: Equivalence between blackbox derandomization of polynomial identity testing and derandomization of Noether’s Normalization Lemma Dedicated to Sri Ra

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Source URL: gct.cs.uchicago.edu

Language: English - Date: 2013-11-07 17:14:04
22CPS296.2 Geometric Optimization  February 22, 2007 Lecture 13: 1-Center, 1-Median problems Lecturer: Pankaj K. Agarwal

CPS296.2 Geometric Optimization February 22, 2007 Lecture 13: 1-Center, 1-Median problems Lecturer: Pankaj K. Agarwal

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Source URL: www.cs.duke.edu

Language: English - Date: 2007-04-05 11:46:26
23Randomized Loose Renaming in O(log log n) Time [Extended Abstract] ∗ †

Randomized Loose Renaming in O(log log n) Time [Extended Abstract] ∗ †

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Source URL: cs-www.cs.yale.edu

Language: English - Date: 2015-04-30 10:34:00
24Randomized Distributed Decision Pierre Fraigniaud1 , Amos Korman1? , Merav Parter2 , and David Peleg2?? 1 CNRS and University Paris Diderot, France . {pierre.fraigniaud,amos.korman}@liafa.jussieu.fr

Randomized Distributed Decision Pierre Fraigniaud1 , Amos Korman1? , Merav Parter2 , and David Peleg2?? 1 CNRS and University Paris Diderot, France . {pierre.fraigniaud,amos.korman}@liafa.jussieu.fr

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Source URL: www.liafa.jussieu.fr

Language: English - Date: 2012-10-01 06:03:40
25 Exercise 1 (A streaming algorithm for counting the number of distinct values). [⋆] We are given a stream of numbers x1 , . . . , xn ∈ [m] and we want to compute the number of distinct values in the stream: F0 (x) =

 Exercise 1 (A streaming algorithm for counting the number of distinct values). [⋆] We are given a stream of numbers x1 , . . . , xn ∈ [m] and we want to compute the number of distinct values in the stream: F0 (x) =

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Source URL: www.liafa.univ-paris-diderot.fr

Language: English - Date: 2015-01-19 07:51:43
26Tight Bounds for Lp Samplers, Finding Duplicates in Streams, and Related Problems arXiv:1012.4889v1 [cs.DS] 22 DecHossein Jowhari1 , Mert Sa˘glam1 , and G´abor Tardos1,2

Tight Bounds for Lp Samplers, Finding Duplicates in Streams, and Related Problems arXiv:1012.4889v1 [cs.DS] 22 DecHossein Jowhari1 , Mert Sa˘glam1 , and G´abor Tardos1,2

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Source URL: arxiv.org

Language: English - Date: 2010-12-22 20:04:48
27A subexponential lower bound for the Random Facet algorithm for Parity Games Oliver Friedmann∗ Thomas Dueholm Hansen†

A subexponential lower bound for the Random Facet algorithm for Parity Games Oliver Friedmann∗ Thomas Dueholm Hansen†

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Source URL: files.oliverfriedmann.de

Language: English - Date: 2012-02-10 07:43:15
28Noname manuscript No. (will be inserted by the editor) Faster Randomized Consensus With an Oblivious Adversary James Aspnes

Noname manuscript No. (will be inserted by the editor) Faster Randomized Consensus With an Oblivious Adversary James Aspnes

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Source URL: cs-www.cs.yale.edu

Language: English - Date: 2015-04-30 10:34:00
29 Exercise 1 (A streaming algorithm for the second moment of the frequencies). We are given a stream of numbers x1 , . . . , xn ∈ {0, . . . , m − 1} and we want to compute the sum of the squares of the frequencies of

 Exercise 1 (A streaming algorithm for the second moment of the frequencies). We are given a stream of numbers x1 , . . . , xn ∈ {0, . . . , m − 1} and we want to compute the sum of the squares of the frequencies of

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Source URL: www.liafa.univ-paris-diderot.fr

Language: English - Date: 2015-01-19 07:51:43
30Sub-Logarithmic Test-and-Set Against a Weak Adversary? Dan Alistarh1 and James Aspnes2 1  2

Sub-Logarithmic Test-and-Set Against a Weak Adversary? Dan Alistarh1 and James Aspnes2 1 2

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Source URL: cs-www.cs.yale.edu

Language: English - Date: 2015-04-30 10:33:59