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Electronic Colloquium on Computational Complexity
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REPORTS > AUTHORS > DANA RON:
All reports by Author Dana Ron:

TR09-083 | 24th September 2009
Dana Ron, Mira Gonen, Yuval Shavitt

Counting Stars and Other Small Subgraphs in Sublinear Time

Detecting and counting the number of copies of certain subgraphs (also known as {\em network motifs\/} or {\em graphlets\/}), is motivated by applications in a variety of areas ranging from Biology to the study of the World-Wide-Web. Several polynomial-time algorithms have been suggested for counting or detecting the number of ... more >>>

TR08-041 | 10th April 2008
Oded Goldreich, Dana Ron

On Proximity Oblivious Testing

We initiate a systematic study of a special type of property testers. These testers consist of repeating a basic test for a number of times that depends on the proximity parameters, whereas the basic test is oblivious of the proximity parameter. We refer to such basic tests by the term ... more >>>

TR08-039 | 7th April 2008
Oded Goldreich, Dana Ron

Algorithmic Aspects of Property Testing in the Dense Graphs Model

In this paper we consider two refined questions regarding the query complexity of testing graph properties in the adjacency matrix model. The first question refers to the relation between adaptive and non-adaptive testers, whereas the second question refers to testability within complexity that is inversely proportional to the proximity parameter, ... more >>>

TR05-125 | 2nd November 2005
Sofya Raskhodnikova, Dana Ron, Ronitt Rubinfeld, Amir Shpilka, Adam Smith

Sublinear Algorithms for Approximating String Compressibility and the Distribution Support Size

We raise the question of approximating compressibility of a string with respect to a fixed compression scheme, in sublinear time. We study this question in detail for two popular lossless compression schemes: run-length encoding (RLE) and Lempel-Ziv (LZ), and present algorithms and lower bounds for approximating compressibility with respect to ... more >>>

TR05-094 | 9th August 2005
Michal Parnas, Dana Ron

On Approximating the Minimum Vertex Cover in Sublinear Time and the Connection to Distributed Algorithms

Revisions: 1
We consider the problem of estimating the size, $VC(G)$, of a minimum vertex cover of a graph $G$, in sublinear time, by querying the incidence relation of the graph. We say that an algorithm is an $(\alpha,\eps)$-approximation algorithm if it outputs with high probability an estimate $\widehat{VC}$ such that $VC(G) ... more >>>

TR05-073 | 14th July 2005
Oded Goldreich, Dana Ron

Approximating Average Parameters of Graphs.

Inspired by Feige ({\em 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 ... more >>>

TR04-013 | 10th February 2004
Oded Goldreich, Dana Ron

On Estimating the Average Degree of a Graph.

Following Feige, we consider the problem of estimating the average degree of a graph. Using ``neighbor queries'' as well as ``degree queries'', we show that the average degree can be approximated arbitrarily well in sublinear time, unless the graph is extremely sparse (e.g., unless the graph has a sublinear number ... more >>>

TR04-010 | 26th January 2004
Michal Parnas, Dana Ron, Ronitt Rubinfeld

Tolerant Property Testing and Distance Approximation

A standard property testing algorithm is required to determine with high probability whether a given object has property P or whether it is \epsilon-far from having P, for any given distance parameter \epsilon. An object is said to be \epsilon-far from having property P if at least an \epsilon-fraction of ... more >>>

TR03-033 | 6th May 2003
Meir Feder, Dana Ron, Ami Tavory

Bounds on Linear Codes for Network Multicast

Comments: 1
Traditionally, communication networks are composed of routing nodes, which relay and duplicate data. Work in recent years has shown that for the case of multicast, an improvement in both rate and code-construction complexity can be gained by replacing these routing nodes by linear coding nodes. These nodes transmit linear combinations ... more >>>

TR01-063 | 5th August 2001
Michal Parnas, Dana Ron, Alex Samorodnitsky

Proclaiming Dictators and Juntas or Testing Boolean Formulae

Revisions: 1
We consider the problem of determining whether a given function f : {0,1}^n -> {0,1} belongs to a certain class of Boolean functions F or whether it is far from the class. More precisely, given query access to the function f and given a distance parameter epsilon, we would like ... more >>>

TR00-020 | 27th March 2000
Oded Goldreich, Dana Ron

On Testing Expansion in Bounded-Degree Graphs

We consider testing graph expansion in the bounded-degree graph model. Specifically, we refer to algorithms for testing whether the graph has a second eigenvalue bounded above by a given threshold or is far from any graph with such (or related) property. We present a natural algorithm aimed towards achieving the ... more >>>

TR99-017 | 4th June 1999
Yevgeniy Dodis, Oded Goldreich, Eric Lehman, Sofya Raskhodnikova, Dana Ron, Alex Samorodnitsky

Improved Testing Algorithms for Monotonicity.

Revisions: 1
We present improved algorithms for testing monotonicity of functions. Namely, given the ability to query an unknown function $f$, where $\Sigma$ and $\Xi$ are finite ordered sets, the test always accepts a monotone $f$, and rejects $f$ with high probability if it is $\e$-far from being monotone (i.e., every monotone ... more >>>

TR98-062 | 28th October 1998
Oded Goldreich, Dana Ron, Madhu Sudan

Chinese Remaindering with Errors

Revisions: 4 , Comments: 1
The Chinese Remainder Theorem states that a positive integer m is uniquely specified by its remainder modulo k relatively prime integers p_1,...,p_k, provided m < \prod_{i=1}^k p_i. Thus the residues of m modulo relatively prime integers p_1 < p_2 < ... < p_n form a redundant representation of m if ... more >>>

TR97-028 | 12th July 1997
Scott E. Decatur, Oded Goldreich, Dana Ron

Computational Sample Complexity

In a variety of PAC learning models, a tradeoff between time and information seems to exist: with unlimited time, a small amount of information suffices, but with time restrictions, more information sometimes seems to be required. In addition, it has long been known that there are concept classes that can ... more >>>

TR96-057 | 18th November 1996
Oded Goldreich, Dana Ron

Property Testing and its connection to Learning and Approximation

In this paper, we consider the question of determining whether a function $f$ has property $P$ or is $\e$-far from any function with property $P$. The property testing algorithm is given a sample of the value of $f$ on instances drawn according to some distribution. In some cases, it is ... more >>>



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