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Ágnes Tóth

dblp:93/7810 · DBLP profile ↗
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4ranked-venue papers
1as first author
0since 2021 · last 2015
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Theory of computation · 3 · 1 first-authorApplied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Theoretical computer science
1 paper
Coding theory · 87% Information theory · 13%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Coding theory
source coding
0.212015
Dilworth Rate: A Generalization of Witsenhausen's Zero-Error Rate for Directed Graphs · IEEE Trans. Inf. Theory 2015
Coding theory › source coding › lossless compression
zero-error source coding
0.212015
Dilworth Rate: A Generalization of Witsenhausen's Zero-Error Rate for Directed Graphs · IEEE Trans. Inf. Theory 2015
Information theory › information measures › entropy
graph entropy
0.112015
Dilworth Rate: A Generalization of Witsenhausen's Zero-Error Rate for Directed Graphs · IEEE Trans. Inf. Theory 2015
YearPublicationVenuePosition
2015 Dilworth Rate: A Generalization of Witsenhausen's Zero-Error Rate for Directed Graphs
abstract
We investigate a communication setup where a source output is sent through a free noisy channel first and an additional codeword is sent through a noiseless, but expensive channel later. With the help of the second message the decoder should be able to decide with zero-error whether its decoding of the first message was error-free. This scenario leads to the definition of a digraph parameter that generalizes Witsenhausen's zero-error rate for directed graphs. We investigate this new parameter for some specific directed graphs and explore its relations to other digraph parameters, such as Sperner capacity and dichromatic number. We also look at the natural variant of the above problem, where the decoder should decode the first message with zero-error, not only decide whether its earlier decoding was correct. In this case, the Witsenhausen rate of an appropriately defined undirected graph turns out to be the relevant parameter.
Gábor Simonyi, Ágnes Tóth
IEEE Trans. Inf. Theory2
2014 A generalization of Witsenhausen's zero-error rate for directed graphs
abstract
We investigate a communication setup where a source output is sent through a free noisy channel first and an additional codeword is sent through a noiseless but expensive channel later. With the help of the second message the decoder should be able to decide with zero-error whether its decoding of the first message was error-free. This scenario leads to the definition of a digraph parameter that generalizesWitsenhausen's zero-error rate for directed graphs. We investigate this new parameter for some specific directed graphs and explore its relations to other digraph parameters like Sperner capacity and dichromatic number. When the original problem is modified to require zero-error decoding of the complete message then we arrive back to the Witsenhausen rate of an appropriately defined undirected graph.
Gábor Simonyi, Ágnes Tóth
ISIT2
2010 Permutation Capacities of Families of Oriented Infinite Paths
abstract
Körner and Malvenuto asked whether one can find $\binom{n}{\lfloor n/2\rfloor}$ linear orderings (i.e., permutations) of the first n natural numbers such that any pair of them places two consecutive integers somewhere in the same position. This led to the notion of graph-different permutations. We extend this concept to directed graphs, focusing on orientations of the semi-infinite path whose edges connect consecutive natural numbers. Our main result shows that the maximum number of permutations satisfying all the pairwise conditions associated with all of the various orientations of this path is exponentially smaller, for any single orientation, than the maximum number of those permutations which satisfy the corresponding pairwise relationship. This is in sharp contrast to a result of Gargano, Körner, and Vaccaro concerning the analogous notion of Sperner capacity of families of finite graphs. We improve the exponential lower bound for the original problem and list a number of open questions.
Graham R. Brightwell, Gérard D. Cohen, Emanuela Fachini, Marianne Fairthorne, János Körner, Gábor Simonyi, Ágnes Tóth
SIAM J. Discret. Math.7
2009 The Ultimate Categorical Independence Ratio of Complete Multipartite Graphs
abstract
The independence ratio $i(G)$ of a graph G is the ratio of its independence number and the number of vertices. The ultimate categorical independence ratio of a graph G is defined as $\lim_{k\to\infty}i(G^{\times k})$, where $G^{\times k}$ denotes the kth categorical power of G. This parameter was introduced by Brown, Nowakowski, and Rall, who asked about its value for complete multipartite graphs. In this paper we determine the ultimate categorical independence ratio of complete multipartite graphs.
Ágnes Tóth
SIAM J. Discret. Math.1