8 Search Results for "Muthukrishnan, S. Muthu"

Document
DOI: 10.4230/DagSemProc.08341.1
08341 Abstracts Collection – Sublinear Algorithms

Authors: Artur Czumaj, S. Muthu Muthukrishnan, Ronitt Rubinfeld, and Christian Sohler

Published in: Dagstuhl Seminar Proceedings, Volume 8341, Sublinear Algorithms (2008)

Abstract
From August 17 to August 22, 2008, the Dagstuhl Seminar 08341 ``Sublinear Algorithms'' was held in the International Conference and Research Center (IBFI), Schloss Dagstuhl. During the seminar, several participants presented their current research, and ongoing work and open problems were discussed. Abstracts of the presentations given during the seminar as well as abstracts of seminar results and ideas are put together in this paper. The first section describes the seminar topics and goals in general. Links to extended abstracts or full papers are provided, if available.
Cite as

Artur Czumaj, S. Muthu Muthukrishnan, Ronitt Rubinfeld, and Christian Sohler. 08341 Abstracts Collection – Sublinear Algorithms. In Sublinear Algorithms. Dagstuhl Seminar Proceedings, Volume 8341, pp. 1-19, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2008)

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@InProceedings{czumaj_et_al:DagSemProc.08341.1,
  author =	{Czumaj, Artur and Muthukrishnan, S. Muthu and Rubinfeld, Ronitt and Sohler, Christian},
  title =	{{08341 Abstracts Collection – Sublinear Algorithms}},
  booktitle =	{Sublinear Algorithms},
  pages =	{1--19},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2008},
  volume =	{8341},
  editor =	{Artur Czumaj and S. Muthu Muthukrishnan and Ronitt Rubinfeld and Christian Sohler},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.08341.1},
  URN =		{urn:nbn:de:0030-drops-16981},
  doi =		{10.4230/DagSemProc.08341.1},
  annote =	{Keywords: Sublinear algorithms, property testing, data streaming, graph algorithms, approximation algorithms}
}
Document
DOI: 10.4230/DagSemProc.08341.2
08341 Executive Summary – Sublinear Algorithms

Authors: Artur Czumaj, S. Muthu Muthukrishnan, Ronitt Rubinfeld, and Christian Sohler

Published in: Dagstuhl Seminar Proceedings, Volume 8341, Sublinear Algorithms (2008)

Abstract
This report summarizes the content and structure of the Dagstuhl seminar `Sublinear Algorithms', which was held from 17.8.2008 to 22.8.2008 in Schloss Dagstuhl, Germany.
Cite as

Artur Czumaj, S. Muthu Muthukrishnan, Ronitt Rubinfeld, and Christian Sohler. 08341 Executive Summary – Sublinear Algorithms. In Sublinear Algorithms. Dagstuhl Seminar Proceedings, Volume 8341, pp. 1-2, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2008)

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@InProceedings{czumaj_et_al:DagSemProc.08341.2,
  author =	{Czumaj, Artur and Muthukrishnan, S. Muthu and Rubinfeld, Ronitt and Sohler, Christian},
  title =	{{08341 Executive Summary – Sublinear Algorithms}},
  booktitle =	{Sublinear Algorithms},
  pages =	{1--2},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2008},
  volume =	{8341},
  editor =	{Artur Czumaj and S. Muthu Muthukrishnan and Ronitt Rubinfeld and Christian Sohler},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.08341.2},
  URN =		{urn:nbn:de:0030-drops-16964},
  doi =		{10.4230/DagSemProc.08341.2},
  annote =	{Keywords: Sublinear algorithms, property testing, data streaming, graph algorithms, approximation algorithms}
}
Document
DOI: 10.4230/DagSemProc.08341.3
Breaking the $\epsilon$-Soundness Bound of the Linearity Test over GF(2)

Authors: Tali Kaufman, Simon Litsyn, and Ning Xie

Published in: Dagstuhl Seminar Proceedings, Volume 8341, Sublinear Algorithms (2008)

Abstract
For Boolean functions that are $epsilon$-far from the set of linear functions, we study the lower bound on the rejection probability (denoted by $extsc{rej}(epsilon)$) of the linearity test suggested by Blum, Luby and Rubinfeld. This problem is arguably the most fundamental and extensively studied problem in property testing of Boolean functions. The previously best bounds for $extsc{rej}(epsilon)$ were obtained by Bellare, Coppersmith, H{{a}}stad, Kiwi and Sudan. They used Fourier analysis to show that $ extsc{rej}(epsilon) geq e$ for every $0 leq epsilon leq frac{1}{2}$. They also conjectured that this bound might not be tight for $epsilon$'s which are close to $1/2$. In this paper we show that this indeed is the case. Specifically, we improve the lower bound of $ extsc{rej}(epsilon) geq epsilon$ by an additive constant that depends only on $epsilon$: $extsc{rej}(epsilon) geq epsilon + min {1376epsilon^{3}(1-2epsilon)^{12}, frac{1}{4}epsilon(1-2epsilon)^{4}}$, for every $0 leq epsilon leq frac{1}{2}$. Our analysis is based on a relationship between $extsc{rej}(epsilon)$ and the weight distribution of a coset of the Hadamard code. We use both Fourier analysis and coding theory tools to estimate this weight distribution.
Cite as

Tali Kaufman, Simon Litsyn, and Ning Xie. Breaking the $\epsilon$-Soundness Bound of the Linearity Test over GF(2). In Sublinear Algorithms. Dagstuhl Seminar Proceedings, Volume 8341, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2008)

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@InProceedings{kaufman_et_al:DagSemProc.08341.3,
  author =	{Kaufman, Tali and Litsyn, Simon and Xie, Ning},
  title =	{{Breaking the \$\backslashepsilon\$-Soundness Bound of the Linearity Test over GF(2)}},
  booktitle =	{Sublinear Algorithms},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2008},
  volume =	{8341},
  editor =	{Artur Czumaj and S. Muthu Muthukrishnan and Ronitt Rubinfeld and Christian Sohler},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.08341.3},
  URN =		{urn:nbn:de:0030-drops-16971},
  doi =		{10.4230/DagSemProc.08341.3},
  annote =	{Keywords: Linearity test, Fourier analysis, coding theory}
}
Document
DOI: 10.4230/DagSemProc.08341.4
Lower bound for estimating frequency for update data streams

Authors: Sumit Ganguly

Published in: Dagstuhl Seminar Proceedings, Volume 8341, Sublinear Algorithms (2008)

Abstract
We consider general update streams, where, the stream is a sequence of updates of the form $(index, i, v)$, where, $i in {1,2 ldots, n}$ and $v in {-1,+1}$, signifying deletion or insertion, respectively of an instance of $i$. The frequency of $i in {1,2,ldots, n}$ is given as the sum of the updates to $i$, that is, $f_i(sigma) = sum_{(index,i,v) in sigma} v $. The $n$-dimensional vector $f(sigma)$ with $i$th coordinate $f_i(sigma)$ is called the frequency vector of the stream $sigma$. We consider the problem of finding an n-dimensional integer vector $hat{f}(sigma)$ that estimates the frequency vector $f(sigma)$ of an input stream $sigma$ in the following sense: orm{hat{f} (sigma)- f(sigma)} le epsilon orm{f(sigma)}_p For $p=1$ and $2$, there are randomized algorithms known with space bound $ ilde{O}(epsilon^{-p})$. A space lower bound of $Omega(epsilon^{-1} log (nepsilon))$ is also known. However, the deterministic space upper bound is $ ilde{O}(epsilon^{-2})$. In this work, we present a deterministic space lower bound of $Omega(n^{2-2/p}epsilon^{-2} log |{sigma}|)$, for $1le p < 2$ and $1/4 le epsilon = Omega(n^{1/2-1/p})$. For $p ge 2$, we show an $Omega(n)$ space lower bound for all $epsilon < 1/4$. The results are obtained using a new characterization of data stream computations, that show that any uniform computation over a data stream may be viewed as an appropriate linear map.
Cite as

Sumit Ganguly. Lower bound for estimating frequency for update data streams. In Sublinear Algorithms. Dagstuhl Seminar Proceedings, Volume 8341, pp. 1-15, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2008)

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@InProceedings{ganguly:DagSemProc.08341.4,
  author =	{Ganguly, Sumit},
  title =	{{Lower bound for estimating frequency for update data streams}},
  booktitle =	{Sublinear Algorithms},
  pages =	{1--15},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2008},
  volume =	{8341},
  editor =	{Artur Czumaj and S. Muthu Muthukrishnan and Ronitt Rubinfeld and Christian Sohler},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.08341.4},
  URN =		{urn:nbn:de:0030-drops-16959},
  doi =		{10.4230/DagSemProc.08341.4},
  annote =	{Keywords: Data stream, lower bound, frequency estimation, stream automata, linear map}
}
Document
DOI: 10.4230/DagSemProc.05291.1
05291 Abstracts Collection – Sublinear Algorithms

Authors: Artur Czumaj, S. Muthu Muthukrishnan, Ronitt Rubinfeld, and Christian Sohler

Published in: Dagstuhl Seminar Proceedings, Volume 5291, Sublinear Algorithms (2006)

Abstract
From 17.07.05 to 22.07.05, the Dagstuhl Seminar 05291 ``Sublinear Algorithms'' was held in the International Conference and Research Center (IBFI), Schloss Dagstuhl. During the seminar, several participants presented their current research, and ongoing work and open problems were discussed. Abstracts of the presentations given during the seminar as well as abstracts of seminar results and ideas are put together in this paper. The first section describes the seminar topics and goals in general. Links to extended abstracts or full papers are provided, if available.
Cite as

Artur Czumaj, S. Muthu Muthukrishnan, Ronitt Rubinfeld, and Christian Sohler. 05291 Abstracts Collection – Sublinear Algorithms. In Sublinear Algorithms. Dagstuhl Seminar Proceedings, Volume 5291, pp. 1-18, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2006)

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@InProceedings{czumaj_et_al:DagSemProc.05291.1,
  author =	{Czumaj, Artur and Muthukrishnan, S. Muthu and Rubinfeld, Ronitt and Sohler, Christian},
  title =	{{05291 Abstracts Collection – Sublinear Algorithms}},
  booktitle =	{Sublinear Algorithms},
  pages =	{1--18},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2006},
  volume =	{5291},
  editor =	{Artur Czumaj and S. Muthu Muthukrishnan and Ronitt Rubinfeld and Christian Sohler},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.05291.1},
  URN =		{urn:nbn:de:0030-drops-6814},
  doi =		{10.4230/DagSemProc.05291.1},
  annote =	{Keywords: Property testing, sublinear time approximation algorithms, data streaming algorithms}
}
Document
DOI: 10.4230/DagSemProc.05291.2
Approximating Average Parameters of Graphs

Authors: Oded Goldreich and Dana Ron

Published in: Dagstuhl Seminar Proceedings, Volume 5291, Sublinear Algorithms (2006)

Abstract
Inspired by Feige (36th STOC, 2004), we initiate a study of sublinear randomized algorithms for approximating average parameters of a graph. Specifically, we consider the average degree of a graph and the average distance between pairs of vertices in a graph. Since our focus is on sublinear algorithms, these algorithms access the input graph via queries to an adequate oracle. We consider two types of queries. The first type is standard neighborhood queries (i.e., what is the i'th neighbor of vertex v?), whereas the second type are queries regarding the quantities that we need to find the average of (i.e., what is the degree of vertex v? and what is the distance between u and v, respectively). Loosely speaking, our results indicate a difference between the two problems: For approximating the average degree, the standard neighbor queries suffice and in fact are preferable to degree queries. In contrast, for approximating average distances, the standard neighbor queries are of little help whereas distance queries are crucial.
Cite as

Oded Goldreich and Dana Ron. Approximating Average Parameters of Graphs. In Sublinear Algorithms. Dagstuhl Seminar Proceedings, Volume 5291, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2006)

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@InProceedings{goldreich_et_al:DagSemProc.05291.2,
  author =	{Goldreich, Oded and Ron, Dana},
  title =	{{Approximating Average Parameters of Graphs}},
  booktitle =	{Sublinear Algorithms},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2006},
  volume =	{5291},
  editor =	{Artur Czumaj and S. Muthu Muthukrishnan and Ronitt Rubinfeld and Christian Sohler},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.05291.2},
  URN =		{urn:nbn:de:0030-drops-5531},
  doi =		{10.4230/DagSemProc.05291.2},
  annote =	{Keywords: Graph parameters, degree, distance}
}
Document
DOI: 10.4230/DagSemProc.05291.3
Contemplations on Testing Graph Properties

Authors: Oded Goldreich

Published in: Dagstuhl Seminar Proceedings, Volume 5291, Sublinear Algorithms (2006)

Abstract
This note documents two programmatic comments regarding testing graph properties, which I made during the workshop. The first comment advocates paying more attention to the dependence of the tester's complexity on the proximity parameter. The second comment advocates paying more attention to the question of testing general graphs (rather than dense or bounded-degree ones). In addition, this note includes a suggestion to view property testing within the framework of promise problems.
Cite as

Oded Goldreich. Contemplations on Testing Graph Properties. In Sublinear Algorithms. Dagstuhl Seminar Proceedings, Volume 5291, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2006)

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@InProceedings{goldreich:DagSemProc.05291.3,
  author =	{Goldreich, Oded},
  title =	{{Contemplations on Testing Graph Properties}},
  booktitle =	{Sublinear Algorithms},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2006},
  volume =	{5291},
  editor =	{Artur Czumaj and S. Muthu Muthukrishnan and Ronitt Rubinfeld and Christian Sohler},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.05291.3},
  URN =		{urn:nbn:de:0030-drops-5552},
  doi =		{10.4230/DagSemProc.05291.3},
  annote =	{Keywords: Property testing, graph properties}
}
Document
DOI: 10.4230/DagSemProc.05291.4
Sublinear Geometric Algorithms

Authors: Bernard Chazelle, Ding Liu, and Avner Magen

Published in: Dagstuhl Seminar Proceedings, Volume 5291, Sublinear Algorithms (2006)

Abstract
We present sublinear algorithms to such problems as Detecting of Polytope intersection, Shortest Path on 3D convex Polytopes and volume approximation.
Cite as

Bernard Chazelle, Ding Liu, and Avner Magen. Sublinear Geometric Algorithms. In Sublinear Algorithms. Dagstuhl Seminar Proceedings, Volume 5291, pp. 1-18, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2006)

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@InProceedings{chazelle_et_al:DagSemProc.05291.4,
  author =	{Chazelle, Bernard and Liu, Ding and Magen, Avner},
  title =	{{Sublinear Geometric Algorithms}},
  booktitle =	{Sublinear Algorithms},
  pages =	{1--18},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2006},
  volume =	{5291},
  editor =	{Artur Czumaj and S. Muthu Muthukrishnan and Ronitt Rubinfeld and Christian Sohler},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.05291.4},
  URN =		{urn:nbn:de:0030-drops-5548},
  doi =		{10.4230/DagSemProc.05291.4},
  annote =	{Keywords: Sublinear algorithms, computational geometry}
}
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