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Graph Convexity and Vertex Orderings

Graph Convexity and Vertex Orderings PDF Author: Rachel Jean Selma Anderson
Publisher:
ISBN:
Category :
Languages : en
Pages :

Book Description
In discrete mathematics, a convex space is an ordered pair (V,M) where M is a family of subsets of a finite set V , such that: ? ?M, V ?M, and Mis closed under intersection. The elements of M are called convex sets. For a set S ? V , the convex hull of S is the smallest convex set that contains S. A point x of a convex set X is an extreme point of X if X\{x} is also convex. A convex space (V,M) with the property that every convex set is the convex hull of its extreme points is called a convex geometry. A graph G has a P-elimination ordering if an ordering v1, v2, ..., vn of the vertices exists such that vi has property P in the graph induced by vertices vi, vi+1, ..., vn for all i = 1, 2, ...,n. Farber and Jamison [18] showed that for a convex geometry (V,M),X ?M if and only if there is an ordering v1, v2, ..., vk of the points of V ? X such that vi is an extreme point of {vi, vi+1, ..., vk}? X for each i = 1, 2, ...,k. With these concepts in mind, this thesis surveys the literature and summarizes results regarding graph convexities and elimination orderings. These results include classifying graphs for which different types of convexities give convex geometries, and classifying graphs for which different vertex ordering algorithms result in a P-elimination ordering, for P the characteristic property of the extreme points of the convexity. We consider the geodesic, monophonic, m3, 3-Steiner and 3-monophonic convexities, and the vertex ordering algorithms LexBFS, MCS, MEC and MCC. By considering LexDFS, a recently introduced vertex ordering algorithm of Corneil and Krueger [11], we obtain new results: these are characterizations of graphs for which all LexDFS orderings of all induced subgraphs are P-elimination orderings, for every characteristic property P of the extreme vertices for the convexities studied in this thesis.

Graph Convexity and Vertex Orderings

Graph Convexity and Vertex Orderings PDF Author: Rachel Jean Selma Anderson
Publisher:
ISBN:
Category :
Languages : en
Pages :

Book Description
In discrete mathematics, a convex space is an ordered pair (V,M) where M is a family of subsets of a finite set V , such that: ? ?M, V ?M, and Mis closed under intersection. The elements of M are called convex sets. For a set S ? V , the convex hull of S is the smallest convex set that contains S. A point x of a convex set X is an extreme point of X if X\{x} is also convex. A convex space (V,M) with the property that every convex set is the convex hull of its extreme points is called a convex geometry. A graph G has a P-elimination ordering if an ordering v1, v2, ..., vn of the vertices exists such that vi has property P in the graph induced by vertices vi, vi+1, ..., vn for all i = 1, 2, ...,n. Farber and Jamison [18] showed that for a convex geometry (V,M),X ?M if and only if there is an ordering v1, v2, ..., vk of the points of V ? X such that vi is an extreme point of {vi, vi+1, ..., vk}? X for each i = 1, 2, ...,k. With these concepts in mind, this thesis surveys the literature and summarizes results regarding graph convexities and elimination orderings. These results include classifying graphs for which different types of convexities give convex geometries, and classifying graphs for which different vertex ordering algorithms result in a P-elimination ordering, for P the characteristic property of the extreme points of the convexity. We consider the geodesic, monophonic, m3, 3-Steiner and 3-monophonic convexities, and the vertex ordering algorithms LexBFS, MCS, MEC and MCC. By considering LexDFS, a recently introduced vertex ordering algorithm of Corneil and Krueger [11], we obtain new results: these are characterizations of graphs for which all LexDFS orderings of all induced subgraphs are P-elimination orderings, for every characteristic property P of the extreme vertices for the convexities studied in this thesis.

Convexity in Graphs: Vertex Order Characterisations and Graph Searching

Convexity in Graphs: Vertex Order Characterisations and Graph Searching PDF Author: Jesse Beisegel
Publisher:
ISBN:
Category : Convex domains
Languages : en
Pages :

Book Description


Convexity in Graphs

Convexity in Graphs PDF Author: Jesse Beisegel
Publisher:
ISBN:
Category :
Languages : en
Pages :

Book Description


Graphs and Combinatorial Optimization: from Theory to Applications

Graphs and Combinatorial Optimization: from Theory to Applications PDF Author: Claudio Gentile
Publisher: Springer Nature
ISBN: 3030630722
Category : Mathematics
Languages : en
Pages : 408

Book Description
This book highlights new and original contributions on Graph Theory and Combinatorial Optimization both from the theoretical point of view and from applications in all fields. The book chapters describe models and methods based on graphs, structural properties, discrete optimization, network optimization, mixed-integer programming, heuristics, meta-heuristics, math-heuristics, and exact methods as well as applications. The book collects selected contributions from the CTW2020 international conference (18th Cologne-Twente Workshop on Graphs and Combinatorial Optimization), held online on September 14-16, 2020. The conference was organized by IASI-CNR with the contribution of University of Roma Tre, University Roma Tor Vergata, and CNRS-LIX and with the support of AIRO. It is addressed to researchers, PhD students, and practitioners in the fields of Graph Theory, Discrete Mathematics, Combinatorial Optimization, and Operations Research.

Discrete and Computational Geometry

Discrete and Computational Geometry PDF Author: Boris Aronov
Publisher: Springer Science & Business Media
ISBN: 3642555667
Category : Mathematics
Languages : en
Pages : 847

Book Description
An impressive collection of original research papers in discrete and computational geometry, contributed by many leading researchers in these fields, as a tribute to Jacob E. Goodman and Richard Pollack, two of the ‘founding fathers’ of the area, on the occasion of their 2/3 x 100 birthdays. The topics covered by the 41 papers provide professionals and graduate students with a comprehensive presentation of the state of the art in most aspects of discrete and computational geometry, including geometric algorithms, study of arrangements, geometric graph theory, quantitative and algorithmic real algebraic geometry, with important connections to algebraic geometry, convexity, polyhedral combinatorics, the theory of packing, covering, and tiling. The book serves as an invaluable source of reference in this discipline.

Geodesic Convexity in Graphs

Geodesic Convexity in Graphs PDF Author: Ignacio M. Pelayo
Publisher: Springer Science & Business Media
ISBN: 1461486998
Category : Mathematics
Languages : en
Pages : 117

Book Description
​​​​​​​​Geodesic Convexity in Graphs is devoted to the study of the geodesic convexity on finite, simple, connected graphs. The first chapter includes the main definitions and results on graph theory, metric graph theory and graph path convexities. The following chapters focus exclusively on the geodesic convexity, including motivation and background, specific definitions, discussion and examples, results, proofs, exercises and open problems. The main and most st​udied parameters involving geodesic convexity in graphs are both the geodetic and the hull number which are defined as the cardinality of minimum geodetic and hull set, respectively. This text reviews various results, obtained during the last one and a half decade, relating these two invariants and some others such as convexity number, Steiner number, geodetic iteration number, Helly number, and Caratheodory number to a wide range a contexts, including products, boundary-type vertex sets, and perfect graph families. This monograph can serve as a supplement to a half-semester graduate course in geodesic convexity but is primarily a guide for postgraduates and researchers interested in topics related to metric graph theory and graph convexity theory. ​

Convexity and Discrete Geometry Including Graph Theory

Convexity and Discrete Geometry Including Graph Theory PDF Author: Karim Adiprasito
Publisher: Springer
ISBN: 3319281860
Category : Mathematics
Languages : en
Pages : 277

Book Description
This volume presents easy-to-understand yet surprising properties obtained using topological, geometric and graph theoretic tools in the areas covered by the Geometry Conference that took place in Mulhouse, France from September 7–11, 2014 in honour of Tudor Zamfirescu on the occasion of his 70th anniversary. The contributions address subjects in convexity and discrete geometry, in distance geometry or with geometrical flavor in combinatorics, graph theory or non-linear analysis. Written by top experts, these papers highlight the close connections between these fields, as well as ties to other domains of geometry and their reciprocal influence. They offer an overview on recent developments in geometry and its border with discrete mathematics, and provide answers to several open questions. The volume addresses a large audience in mathematics, including researchers and graduate students interested in geometry and geometrical problems.

Graph-Theoretic Concepts in Computer Science

Graph-Theoretic Concepts in Computer Science PDF Author: Andreas Brandstädt
Publisher: Springer
ISBN: 303000256X
Category : Computers
Languages : en
Pages : 396

Book Description
This book constitutes the revised selected papers of the 44th International Workshop on Graph-Theoretic Concepts in Computer Science, WG 2018, held in Cottbus, Germany, in June 2018. The 30 full papers presented in this volume were carefully reviewed and selected from 66 submissions. They cover a wide range of areas, aiming at connecting theory and applications by demonstrating how graph-theoretic concepts can be applied in various areas of computer science. Another focus is on presenting recent results and on identifying and exploring promising directions of future research.

Polytopes and Graphs

Polytopes and Graphs PDF Author: Guillermo Pineda Villavicencio
Publisher: Cambridge University Press
ISBN: 1009257781
Category : Mathematics
Languages : en
Pages : 482

Book Description
This book introduces convex polytopes and their graphs, alongside the results and methodologies required to study them. It guides the reader from the basics to current research, presenting many open problems to facilitate the transition. The book includes results not previously found in other books, such as: the edge connectivity and linkedness of graphs of polytopes; the characterisation of their cycle space; the Minkowski decomposition of polytopes from the perspective of geometric graphs; Lei Xue's recent lower bound theorem on the number of faces of polytopes with a small number of vertices; and Gil Kalai's rigidity proof of the lower bound theorem for simplicial polytopes. This accessible introduction covers prerequisites from linear algebra, graph theory, and polytope theory. Each chapter concludes with exercises of varying difficulty, designed to help the reader engage with new concepts. These features make the book ideal for students and researchers new to the field.

Graph Classes

Graph Classes PDF Author: Andreas Brandstadt
Publisher: SIAM
ISBN: 9780898719796
Category : Mathematics
Languages : en
Pages : 315

Book Description
This well-organized reference is a definitive encyclopedia for the literature on graph classes. It contains a survey of more than 200 classes of graphs, organized by types of properties used to define and characterize the classes, citing key theorems and literature references for each. The authors state results without proof, providing readers with easy access to far more key theorems than are commonly found in other mathematical texts. Interconnections between graph classes are also provided to make the book useful to a variety of readers.