Luís Fernando Schultz Xavier da Silveira

dblp:202/9552 · DBLP profile ↗
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6ranked-venue papers
0as first author
3since 2021 · last 2023
—ORCID · none

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

Theory of computation · 4 · 2 since 2021Artificial intelligence and machine learning · 1Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 since 2021
YearPublicationVenuePosition
2023 Geodesic obstacle representation of graphs
Prosenjit Bose, Paz Carmi, Vida Dujmovic, Saeed Mehrabi 0001, Fabrizio Montecchiani, Pat Morin, Luís Fernando Schultz Xavier da Silveira
Comput. Geom.7
2023 Constant delay lattice train schedules
Jean-Lou De Carufel, Darryl Hill, Anil Maheshwari, Sasanka Roy, Luís Fernando Schultz Xavier da Silveira
Discret. Appl. Math.5
2021 The Minimum Moving Spanning Tree Problem
Hugo A. Akitaya, Ahmad Biniaz, Prosenjit Bose, Jean-Lou De Carufel, Anil Maheshwari, Luís Fernando Schultz Xavier da Silveira, Michiel H. M. Smid
WADS6
2019 Approximability of covering cells with line segments
Paz Carmi, Anil Maheshwari, Saeed Mehrabi 0001, Luís Fernando Schultz Xavier da Silveira
Theor. Comput. Sci.4
2018 Approximability of Covering Cells with Line Segments
Paz Carmi, Anil Maheshwari, Saeed Mehrabi 0001, Luís Fernando Schultz Xavier da Silveira
COCOA4
2018 Geodesic Obstacle Representation of Graphs
abstract
An obstacle representation of a graph is a mapping of the vertices onto points in the plane and a set of connected regions of the plane (called obstacles) such that the straight-line segment connecting the points corresponding to two vertices does not intersect any obstacles if and only if the vertices are adjacent in the graph. The obstacle representation and its plane variant (in which the resulting representation is a plane straight-line embedding of the graph) have been extensively studied with the main objective of minimizing the number of obstacles. Recently, Biedl and Mehrabi [Therese C. Biedl and Saeed Mehrabi, 2017] studied non-blocking grid obstacle representations of graphs in which the vertices of the graph are mapped onto points in the plane while the straight-line segments representing the adjacency between the vertices is replaced by the L_1 (Manhattan) shortest paths in the plane that avoid obstacles. In this paper, we introduce the notion of geodesic obstacle representations of graphs with the main goal of providing a generalized model, which comes naturally when viewing line segments as shortest paths in the Euclidean plane. To this end, we extend the definition of obstacle representation by allowing some obstacles-avoiding shortest path between the corresponding points in the underlying metric space whenever the vertices are adjacent in the graph. We consider both general and plane variants of geodesic obstacle representations (in a similar sense to obstacle representations) under any polyhedral distance function in R^d as well as shortest path distances in graphs. Our results generalize and unify the notions of obstacle representations, plane obstacle representations and grid obstacle representations, leading to a number of questions on such representations.
Prosenjit Bose, Paz Carmi, Vida Dujmovic, Saeed Mehrabi 0001, Fabrizio Montecchiani, Pat Morin, Luís Fernando Schultz Xavier da Silveira
ICALP7