Results 41 to 50 of about 8,830,736 (317)

Resolving sets tolerant to failures in three-dimensional grids [PDF]

open access: yesMediterranean Journal of Mathematics, 2021
An ordered set S of vertices of a graph G is a resolving set for G if every vertex is uniquely determined by its vector of distances to the vertices in S. The metric dimension of G is the minimum cardinality of a resolving set.
M. Mora   +2 more
semanticscholar   +1 more source

Progress toward resolving the attentional capture debate

open access: yesVisual Cognition, 2020
For over 25 years, researchers have debated whether physically salient stimuli capture attention in an automatic manner, independent of the observer’s goals, or whether the capture of attention depends on the match between a stimulus and the observer’s ...
S. Luck   +4 more
semanticscholar   +1 more source

Resolvent Estimates for Normally Hyperbolic Trapped Sets [PDF]

open access: yesAnnales Henri Poincaré, 2011
Further changes to erratum correcting small problems with Section 3.5 and Lemma 4.1; this now also corrects hypotheses, explicitly requiring trapped set to be symplectic.
Wunsch, Jared, Zworski, Maciej
openaire   +2 more sources

Metric and fault-tolerant metric dimension for GeSbTe superlattice chemical structure.

open access: yesPLoS ONE, 2023
The concept of metric dimension has many applications, including optimizing sensor placement in networks and identifying influential persons in social networks, which aids in effective resource allocation and focused interventions; finding the source of ...
Liu Liqin   +4 more
doaj   +1 more source

On the Minimum Differentially Resolving Set Problem for Diffusion Source Inference in Networks

open access: yesAAAI Conference on Artificial Intelligence, 2016
In this paper we theoretically study the minimum Differentially Resolving Set (DRS) problem derived from the classical sensor placement optimization problem in network source locating.
Chuan Zhou   +5 more
semanticscholar   +1 more source

Restrained 2-Resolving Sets in the Join, Corona and Lexicographic Product of Two Graphs

open access: yesEuropean Journal of Pure and Applied Mathematics, 2022
Let G be a connected graph. An ordered set of vertices {v1, ..., vl} is a 2-resolving set for G if, for any distinct vertices u, w ∈ V (G), the lists of distances (dG(u, v1), ..., dG(u, vl)) and (dG(w, v1), ..., dG(w, vl)) differ in at least 2 positions.
Jean Mansanadez Cabaro, Helen M. Rara
semanticscholar   +1 more source

Limit sets of stable Cellular Automata [PDF]

open access: yes, 2013
We study limit sets of stable cellular automata standing from a symbolic dynamics point of view where they are a special case of sofic shifts admitting a steady epimorphism.
Alexis Ballier, Santiago Chile
core   +1 more source

Coloring Cantor sets and resolvability of pseudocompact spaces [PDF]

open access: yesCommentationes Mathematicae Universitatis Carolinae, 2019
Let us denote by $ ( , )$ the statement that $\mathbb{B}( ) = D( )^ $, i.e. the Baire space of weight $ $, has a coloring with $ $ colors such that every homeomorphic copy of the Cantor set $\mathbb{C}$ in $\mathbb{B}( )$ picks up all the $ $ colors. We call a space $X\,$ {\em $ $-regular} if it is Hausdorff and for every non-empty open set $
Juhász, István   +2 more
openaire   +3 more sources

On Fault-Tolerant Resolving Sets of Some Families of Ladder Networks

open access: yesComplex, 2021
In computer networks, vertices represent hosts or servers, and edges represent as the connecting medium between them. In localization, some special vertices (resolving sets) are selected to locate the position of all vertices in a computer network. If an
Hua Wang   +4 more
semanticscholar   +1 more source

Resolving Transition Metal Chemical Space: Feature Selection for Machine Learning and Structure-Property Relationships. [PDF]

open access: yesJournal of Physical Chemistry A, 2017
Machine learning (ML) of quantum mechanical properties shows promise for accelerating chemical discovery. For transition metal chemistry where accurate calculations are computationally costly and available training data sets are small, the molecular ...
J. Janet, Heather J. Kulik
semanticscholar   +1 more source

Home - About - Disclaimer - Privacy