Graph and Network Theory: An Applied Approach using Mathematica (R)

This textbook provides a comprehensive coverage of graph and network theory,with a focus on theoretical and applied aspects. It is designed for three primary readerhips: mathematics, applied mathematics/operations research, and computer science. Each chapter includes real-life problem descriptions, exercises, and biographical notes of graph theorists and mathematicians. The material is organized into three parts: network optimization, classical problems, and modern areas of study. Mathematica® is used to demonstrate modelling aspects.

Format: Hardback
Length: 766 pages
Publication date: 27 June 2022
Publisher: Springer International Publishing AG

This comprehensive textbook delves into diverse aspects of graph and network theory, offering a theoretical and applied perspective. It employs the powerful Mathematica® software to illustrate numerous modeling concepts. Alongside the development of graph theory and model-building tools, effective techniques for solving practical problems through computer implementation are explored. The book is meticulously crafted with three primary target audiences in mind: mathematics, applied mathematics/operations research, and computer science. Each chapter begins with real-life problem descriptions that serve as motivating catalysts for the theoretical exploration of the subject matter. Concluding each chapter are three distinct sets of exercises. The first set comprises standard exercises designed to assess the reader's understanding of the text's content, while the second set caters to readers with a strong technical background, offering computer exercises utilizing Mathematica. The final set of exercises aims to equip readers with backgrounds in the applied sciences with the necessary skills to apply the chapter's learnings in the context of real-world problem-solving. Furthermore, each chapter includes biographical notes and photographs of influential graph theorists and mathematicians who have made significant contributions to the results documented within. These notes serve to bring the topics to life, fostering a deeper connection between the reader and the material covered. By incorporating these additional elements, the textbook aims to enhance the learning experience and provide a comprehensive understanding of graph and network theory.

Weight: 1682g
Dimension: 254 x 178 (mm)
ISBN-13: 9783031038563
Edition number: 1st ed. 2022