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Descriptive Complexity, Canonisation, and Definable Graph St

first part starts with an introduction to the background, from logic, complexity, and graph theory, and develops the theory up to first;

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Invariant Descriptive Set Theory

of countable models, such as graphs, trees, and groups. The book concludes with applications to classification problems and many benchmark equivalence;

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Invariant Descriptive Set Theory

of countable models, such as graphs, trees, and groups. The book concludes with applications to classification problems and many benchmark equivalence;

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London Mathematical Society Lecture Note Series

, Glimm-Effros type dichotomies and the topological Vaught conjecture); descriptive complexity of orbit equivalence relations; definable;

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Graph-Theoretic Concepts in Computer Science

. They were organized in topical sections named: invited talks; computational complexity; design and analysis; computational geometry; structural;

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Algorithmic Graph Theory

in computational complexity. Although it introduces most of the classical concepts of pure and applied graph theory (spanning trees, connectivity, genus;

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Graph Drawing and Network Visualization

This book constitutes the refereed proceedings of the 27th International Symposium on Graph Drawing and Network Visualization, GD 2019;

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WALCOM: Algorithms and Computation

and graph algorithms. The papers are organized in topical sections on computational geometry, graph algorithms, complexity, graph drawing;

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WALCOM: Algorithms and Computation

papers cover a wide range of topics such as approximation algorithms, computational complexity, computational geometry, data structures, graph;

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Human Interaction with Graphs

data. Given the syntactic complexity of graph query languages (e.g., SPARQL, Cypher), visual graph query interfaces make it easy for non;

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Quantitative Graph Theory

Network complexity measures and other topological indices Quantitative approaches to graphs using machine learning (e.g., clustering;

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Quantitative Graph Theory

Network complexity measures and other topological indices Quantitative approaches to graphs using machine learning (e.g., clustering;

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Sparsity

This is the first book devoted to the systematic study of sparse graphs and sparse finite structures. Although the notion of sparsity;

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Modern Graph Theory

An in-depth account of graph theory, written for serious students of mathematics and computer science. It reflects the current state of the;

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Graph Theory: Research Directions

)-labelling, complexity of graph labeling problems, dominations, interval graphs, matrices and graphs, colouring of labelled graphs and hypergraphs;

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An Efficient Algorithm for Shortest Path Tree in Dynamic Graph

Graph theory is branch of science, which has a wide application in fields of Engineering, Science and management. Graph theory enables us;

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Computing and Combinatorics

to algorithms and complexity; complexity theory; computational learning theory and knowledge discovery; cryptography, reliability and;

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Combinatorial Algorithms

sessions named: computational complexity; computational geometry; networks; enumeration; online algorithms; algorithmic graph theory; dynamic;

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WALCOM: Algorithms and Computation

This book constitutes the proceedings of the 11th International Workshop on Algorithms and Computation, WALCOM 2017, held in Hsinchu;

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Algorithms and Discrete Applied Mathematics

geometry; graph theory; combinatorics and algorithms; graph algorithms; and computational complexity.;

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Algorithms and Discrete Applied Mathematics

algorithms, combinatorial algorithms, and computational complexity.;

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Algebraic Elements of Graphs

classifications with complexity analysis. Being a summary of the author's original work on graph embeddings, this book is an essential reference for;

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Graph Structure And Monadic Second-Order Logic

-order logic. In this book, these two features of graph structure are brought together for the first time in a presentation that unifies and;

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Computing and Combinatorics

Structures; Computational Complexity; Approximation Algorithms; Cryptography; Network and Algorithms; Graph Theory and Algorithms; Computational;

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Chemical Reaction Networks

, mathematical modeling of chemical processes, and mechanistic studies has brought graph theory to the forefront of research. It offers an advanced and;

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Chemical Reaction Networks

, mathematical modeling of chemical processes, and mechanistic studies has brought graph theory to the forefront of research. It offers an advanced and;

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Forcing Idealized

Descriptive set theory and definable proper forcing are two areas of set theory that developed quite independently of each other. This;

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