Javascript must be enabled to continue!
Graph Decotnpositions
View through CrossRef
Abstract
Graph Decompositions is the first book on a topic that belongs mainly to infinite graph theory. It offers a complete account of the theory of simplicial decompositions of graphs, from its origins in the 1930s right up to present-day research. In addition to being one of the most important tools in infinite graph theory, simplicial decompositions may be seen as a model for any kind of structural graph decomposition. The currently topical tree-decompositions, for example, have their origin in simplicial decompositions. The text is centred around a few guiding problems and concepts, such as the existence and the uniqueness problem of simplicial decompositions into primes, or the concept of excluded minors as a means of identifying a desired structure. It attempts to give as authentic a picture as possible of research in progress. To this end, it includes discussions of examples, proof strategies on the formation of new concepts, as well as numerous exercises and open problems. Graph Decompositions should prove attractive to any graph theorist or other mathematician interested in a new area of research, as well as to the advanced student looking for a lively and inspiring account of how such research evolves.
Title: Graph Decotnpositions
Description:
Abstract
Graph Decompositions is the first book on a topic that belongs mainly to infinite graph theory.
It offers a complete account of the theory of simplicial decompositions of graphs, from its origins in the 1930s right up to present-day research.
In addition to being one of the most important tools in infinite graph theory, simplicial decompositions may be seen as a model for any kind of structural graph decomposition.
The currently topical tree-decompositions, for example, have their origin in simplicial decompositions.
The text is centred around a few guiding problems and concepts, such as the existence and the uniqueness problem of simplicial decompositions into primes, or the concept of excluded minors as a means of identifying a desired structure.
It attempts to give as authentic a picture as possible of research in progress.
To this end, it includes discussions of examples, proof strategies on the formation of new concepts, as well as numerous exercises and open problems.
Graph Decompositions should prove attractive to any graph theorist or other mathematician interested in a new area of research, as well as to the advanced student looking for a lively and inspiring account of how such research evolves.
Related Results
Abstract 902: Explainable AI: Graph machine learning for response prediction and biomarker discovery
Abstract 902: Explainable AI: Graph machine learning for response prediction and biomarker discovery
Abstract
Accurately predicting drug sensitivity and understanding what is driving it are major challenges in drug discovery. Graphs are a natural framework for captu...
Domination of Polynomial with Application
Domination of Polynomial with Application
In this paper, .We .initiate the study of domination. polynomial , consider G=(V,E) be a simple, finite, and directed graph without. isolated. vertex .We present a study of the Ira...
The Complexity of Pencil Graph and Line Pencil Graph
The Complexity of Pencil Graph and Line Pencil Graph
Let ???? be a linked and undirected graph. Every linked graph ???? must contain a spanning tree ????, which is a subgraph of ????that is a tree and contain all the nodes of ????. T...
Twilight graphs
Twilight graphs
AbstractThis paper deals primarily with countable, simple, connected graphs and the following two conditions which are trivially satisfied if the graphs are finite:(a) there is an ...
Subgraph Mining
Subgraph Mining
The amount of available data is increasing very fast. With this data, the desire for data mining is also growing. More and larger databases have to be searched to find interesting ...
Drug–target affinity prediction with extended graph learning-convolutional networks
Drug–target affinity prediction with extended graph learning-convolutional networks
Abstract
Background
High-performance computing plays a pivotal role in computer-aided drug design, a field that holds significant promise in pharmac...
Bilangan Kromatik Lokasi pada Graf Hasil Amalgamasi Sisi dari Graf Bintang dan Graf Lengkap
Bilangan Kromatik Lokasi pada Graf Hasil Amalgamasi Sisi dari Graf Bintang dan Graf Lengkap
The locating coloring of graph extends the vertex coloring dan partition dimension of graph. The minimum number of locating coloring of graph G is called the locating chromatic num...
Multiple surface segmentation using novel deep learning and graph based methods
Multiple surface segmentation using novel deep learning and graph based methods
<p>The task of automatically segmenting 3-D surfaces representing object boundaries is important in quantitative analysis of volumetric images, which plays a vital role in nu...

