13 best graph theory

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A Selection Of Introductory Math & Science Books

Since 1941, Math & Science books have been a major part of Dover Publications overall catalog. With over 1,400 titles spanning the subjects of Mathematics, Physics, Chemistry, Engineering, Astronomy and more, our catalog contains MANY excellent introductory texts for high school to graduate level study.

About Basic Electricity:

Introduction To Graph Theory (0486678709)

A stimulating excursion into pure mathematics aimed at "the mathematically traumatized," but great fun for mathematical hobbyists and serious mathematicians as well. Requiring only high school algebra as mathematical background, the book leads the reader from simple graphs through planar graphs, Euler's formula, Platonic graphs, coloring, the genus of a graph, Euler walks, Hamilton walks, and a discussion of The Seven Bridges of Konigsberg. Exercises are included at the end of each chapter.

An Introduction To Information Theory (0486240614)

Behind the familiar surfaces of the telephone, radio, and television lies a sophisticated and intriguing body of knowledge known as information theory. This is the theory that has permitted the rapid development of all sorts of communication, from color television to the clear transmission of photographs from the vicinity of Jupiter.

Covers encoding and binary digits, entropy, language and meaning, efficient encoding and the noisy channel, and explores ways in which information theory relates to physics, cybernetics, psychology, and art.

Introduction To Topology (0486663523)

Ideal introduction to the fundamentals of topology. Originally conceived as a text for a one-semester course, it is directed to undergraduate students whose studies of calculus sequence have included definitions and proofs of theorems. The book's principal aim is to provide a simple, thorough survey of elementary topics in the study of collections of objects, or sets, that possess a mathematical structure.

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From the Preface

This book aims to teach you two things. First, we will teach you about graph thinking and the graph mindset through asking questions and reasoning about data. Second, we will walk you through writing code that solves the most common, complex graph problems.

These new concepts are intertwined within the tasks commonly performed across a few different engineering functions.

Data engineers and architects sit at the heart of transitioning an idea from development into production. We organized this book to show you how to resolve common assumptions that can occur when moving from development into production with graph data and graph tools. Another benefit to the data engineer or data architect will be learning the world of possibilities that come from understanding graph thinking. Synthesizing the breadth of problems that can be solved with graph data will also help you invent new patterns for their use in production applications.

Data scientists and data analysts may most benefit from reasoning about how to use graph data to answer interesting questions. All the examples throughout this text were constructed to apply a query-first approach to graph data.

A secondary benefit for a data scientist or analyst will be to understand the complexity of using distributed graph data within a production application. We teach and build upon the common development pitfalls and their production resolution processes throughout the book so that you can formulate new types of problems to solve.