Graph Drawing, Seok-Hee Hong; Takao Nishizeki; Wu Quan
Автор: Godsil Chris, Royle Gordon F. Название: Algebraic Graph Theory ISBN: 0387952411 ISBN-13(EAN): 9780387952413 Издательство: Springer Рейтинг: Цена: 11313.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Algebraic graph theory is a combination of two strands. The first is the study of algebraic objects associated with graphs. The second is the use of tools from algebra to derive properties of graphs. This work illustrates the main tools and ideas of algebraic graph theory.
Автор: Harris, John Hirst, Jeffry L. Mossinghoff, Michael Название: Combinatorics and graph theory ISBN: 0387797106 ISBN-13(EAN): 9780387797106 Издательство: Springer Рейтинг: Цена: 5723.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Covers a wide variety of topics in combinatorics and graph theory. This book includes results and problems that cross subdisciplines, emphasizing relationships between different areas of mathematics. It also includes sections in graph theory on distance, Eulerian trails, and hamiltonian paths.
Автор: Diestel, Reinhard (university Of Hamburg, Germany) Название: Graph theory ISBN: 3642142788 ISBN-13(EAN): 9783642142789 Издательство: Springer Рейтинг: Цена: 6981.00 р. Наличие на складе: Поставка под заказ.
Описание: The fourth edition of this standard textbook of modern graph theory has been revised, updated, and substantially extended. Covering all major recent developments, it can be used both as a reliable textbook for an introductory course and as a graduate text.
Название: Handbook of Graph Drawing and Visualization ISBN: 113803424X ISBN-13(EAN): 9781138034242 Издательство: Taylor&Francis Рейтинг: Цена: 8573.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Get an In-Depth Understanding of Graph Drawing Techniques, Algorithms, Software, and Applications
The Handbook of Graph Drawing and Visualization provides a broad, up-to-date survey of the field of graph drawing. It covers topological and geometric foundations, algorithms, software systems, and visualization applications in business, education, science, and engineering. Each chapter is self-contained and includes extensive references.
The first several chapters of the book deal with fundamental topological and geometric concepts and techniques used in graph drawing, such as planarity testing and embedding, crossings and planarization, symmetric drawings, and proximity drawings. The following chapters present a large collection of algorithms for constructing drawings of graphs, including tree, planar straight-line, planar orthogonal and polyline, spine and radial, circular, rectangular, hierarchical, and three-dimensional drawings as well as labeling algorithms, simultaneous embeddings, and force-directed methods. The book then introduces the GraphML language for representing graphs and their drawings and describes three software systems for constructing drawings of graphs: OGDF, GDToolkit, and PIGALE. The final chapters illustrate the use of graph drawing methods in visualization applications for biological networks, computer security, data analytics, education, computer networks, and social networks.
Edited by a pioneer in graph drawing and with contributions from leaders in the graph drawing research community, this handbook shows how graph drawing and visualization can be applied in the physical, life, and social sciences. Whether you are a mathematics researcher, IT practitioner, or software developer, the book will help you understand graph drawing methods and graph visualization systems, use graph drawing techniques in your research, and incorporate graph drawing solutions in your products.
Автор: Nagamochi, Hiroshi Ibaraki, Toshihide Название: Algorithmic aspects of graph connectivity ISBN: 0521878640 ISBN-13(EAN): 9780521878647 Издательство: Cambridge Academ Рейтинг: Цена: 14573.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: With applications in communication, transportation, and production, graph connectivity has thrived using the theory of complexity and algorithms in modern computer science. This is the first thorough book on this central notion in graph and network theory, and covers new concepts and algorithms for quicker and more efficient computing.
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