Lucas Mol

dblp:187/5608 · DBLP profile ↗
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8ranked-venue papers
1as first author
4since 2021 · last 2024
0000-0002-4295-0632ORCID · verified

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

Theory of computation · 6 · 1 first-author · 3 since 2021Computer networks · 2 · 1 since 2021
YearPublicationVenuePosition
2024 Extending Dekking's Construction of an Infinite Binary Word Avoiding Abelian 4-Powers
abstract
Abstract. We construct an infinite binary word with critical exponent 3 that avoids abelian 4-powers. Our method gives an algorithm to determine whether certain types of morphic sequences avoid additive powers. We also show that there are [Formula: see text] binary words of length [Formula: see text] that avoid abelian 4-powers, which improves on previous estimates.
James D. Currie, Lucas Mol, Narad Rampersad, Jeffrey Shallit
SIAM J. Discret. Math.2
2021 Average connectivity of minimally 2-connected graphs and average edge-connectivity of minimally 2-edge-connected graphs
Rocío M. Casablanca, Lucas Mol, Ortrud R. Oellermann
Discret. Appl. Math.2
2021 Network reliability: Heading out on the highway
abstract
Abstract A variety of probabilistic notions of network reliability of graphs and digraphs have been proposed and studied since the early 1950s. Although grounded in the engineering and logistics of network design and analysis, the research also spans pure and applied mathematics, with connections to areas as diverse as combinatorics and graph theory, combinatorial enumeration, optimization, probability theory, real and complex analysis, algebraic topology, commutative algebra, the design and analysis of algorithms, and computational complexity. In this paper we describe the landscape of various notions of network reliability, the roads well traveled, and some that appear likely to lead to meaningful and important journeys.
Jason I. Brown, Charles J. Colbourn, Danielle Cox, Christina Graves 0001, Lucas Mol
Networks5
2021 The undirected repetition threshold and undirected pattern avoidance
James D. Currie, Lucas Mol
Theor. Comput. Sci.2
2020 The threshold dimension of a graph
Lucas Mol, Matthew J. H. Murphy, Ortrud R. Oellermann
Discret. Appl. Math.1
2018 The shape of node reliability
Jason I. Brown, Lucas Mol
Discret. Appl. Math.2
2018 Avoidance bases for formulas with reversal
James D. Currie, Lucas Mol, Narad Rampersad
Theor. Comput. Sci.2
2016 On the roots of the node reliability polynomial
abstract
Given a graph G whose edges are perfectly reliable and whose nodes each operate independently with probability the node reliability of G is the probability that at least one node is operational and that the operational nodes can all communicate in the subgraph that they induce; it is the analogous node measure of robustness to the well studied all‐terminal reliability, where the nodes are perfectly reliable but the edges fail randomly. In sharp contrast to what is known about the roots of the all‐terminal reliability polynomial, we show that the node reliability polynomial of any connected graph on at least three nodes has a nonreal polynomial root, the collection of real roots of all node reliability polynomials is unbounded, and the collection of complex roots of all node reliability polynomials is dense in the entire complex plane. © 2016 Wiley Periodicals, Inc. NETWORKS, Vol. 68(3), 238–246 2016
Jason I. Brown, Lucas Mol
Networks2