Graphs for Beginners
Author | : Walter Jamieson |
Publisher | : |
Total Pages | : 76 |
Release | : 1905 |
Genre | : Graphic methods |
ISBN | : |
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Author | : Walter Jamieson |
Publisher | : |
Total Pages | : 76 |
Release | : 1905 |
Genre | : Graphic methods |
ISBN | : |
Author | : W.D. Wallis |
Publisher | : Springer Science & Business Media |
Total Pages | : 266 |
Release | : 2010-05-05 |
Genre | : Mathematics |
ISBN | : 0817645802 |
Concisely written, gentle introduction to graph theory suitable as a textbook or for self-study Graph-theoretic applications from diverse fields (computer science, engineering, chemistry, management science) 2nd ed. includes new chapters on labeling and communications networks and small worlds, as well as expanded beginner's material Many additional changes, improvements, and corrections resulting from classroom use
Author | : Koh Khee Meng |
Publisher | : World Scientific Publishing Company |
Total Pages | : 244 |
Release | : 2007-03-15 |
Genre | : Mathematics |
ISBN | : 9813101636 |
Graph theory is an area in discrete mathematics which studies configurations (called graphs) involving a set of vertices interconnected by edges. This book is intended as a general introduction to graph theory and, in particular, as a resource book for junior college students and teachers reading and teaching the subject at H3 Level in the new Singapore mathematics curriculum for junior college. The book builds on the verity that graph theory at this level is a subject that lends itself well to the development of mathematical reasoning and proof.
Author | : Nora Hartsfield |
Publisher | : Courier Corporation |
Total Pages | : 272 |
Release | : 2013-04-15 |
Genre | : Mathematics |
ISBN | : 0486315525 |
Stimulating and accessible, this undergraduate-level text covers basic graph theory, colorings of graphs, circuits and cycles, labeling graphs, drawings of graphs, measurements of closeness to planarity, graphs on surfaces, and applications and algorithms. 1994 edition.
Author | : Bela Bollobas |
Publisher | : Springer Science & Business Media |
Total Pages | : 408 |
Release | : 2013-12-01 |
Genre | : Mathematics |
ISBN | : 1461206197 |
An in-depth account of graph theory, written for serious students of mathematics and computer science. It reflects the current state of the subject and emphasises connections with other branches of pure mathematics. Recognising that graph theory is one of several courses competing for the attention of a student, the book contains extensive descriptive passages designed to convey the flavour of the subject and to arouse interest. In addition to a modern treatment of the classical areas of graph theory, the book presents a detailed account of newer topics, including Szemerédis Regularity Lemma and its use, Shelahs extension of the Hales-Jewett Theorem, the precise nature of the phase transition in a random graph process, the connection between electrical networks and random walks on graphs, and the Tutte polynomial and its cousins in knot theory. Moreover, the book contains over 600 well thought-out exercises: although some are straightforward, most are substantial, and some will stretch even the most able reader.
Author | : W.D. Wallis |
Publisher | : Springer Science & Business Media |
Total Pages | : 244 |
Release | : 2013-04-17 |
Genre | : Mathematics |
ISBN | : 1475731345 |
Because of its wide applicability, graph theory is one of the fast-growing areas of modern mathematics. Graphs arise as mathematical models in areas as diverse as management science, chemistry, resource planning, and computing. Moreover, the theory of graphs provides a spectrum of methods of proof and is a good train ing ground for pure mathematics. Thus, many colleges and universities provide a first course in graph theory that is intended primarily for mathematics majors but accessible to other students at the senior Ievel. This text is intended for such a course. I have presented this course many times. Over the years classes have included mainly mathematics and computer science majors, but there have been several engineers and occasional psychologists as weil. Often undergraduate and graduate students are in the same dass. Many instructors will no doubt find themselves with similar mixed groups. lt is to be expected that anyone enrolling in a senior Ievel mathematics course will be comfortable with mathematical ideas and notation. In particular, I assume the reader is familiar with the basic concepts of set theory, has seen mathematical induction, and has a passing acquaintance with matrices and algebra. However, one cannot assume that the students in a first graph theory course will have a good knowledge of any specific advanced area. My reaction to this is to avoid too many specific prerequisites. The main requirement, namely a little mathematical maturity, may have been acquired in a variety of ways.
Author | : Gary Chartrand |
Publisher | : Courier Corporation |
Total Pages | : 464 |
Release | : 2013-05-20 |
Genre | : Mathematics |
ISBN | : 0486297306 |
Written by two prominent figures in the field, this comprehensive text provides a remarkably student-friendly approach. Its sound yet accessible treatment emphasizes the history of graph theory and offers unique examples and lucid proofs. 2004 edition.
Author | : W. D. Wallis |
Publisher | : |
Total Pages | : 0 |
Release | : 2000 |
Genre | : Graph theory |
ISBN | : |
Author | : Richard J. Trudeau |
Publisher | : Courier Corporation |
Total Pages | : 224 |
Release | : 2013-04-15 |
Genre | : Mathematics |
ISBN | : 0486318664 |
Aimed at "the mathematically traumatized," this text offers nontechnical coverage of graph theory, with exercises. Discusses planar graphs, Euler's formula, Platonic graphs, coloring, the genus of a graph, Euler walks, Hamilton walks, more. 1976 edition.
Author | : Mark Needham |
Publisher | : "O'Reilly Media, Inc." |
Total Pages | : 297 |
Release | : 2019-05-16 |
Genre | : Computers |
ISBN | : 1492047635 |
Discover how graph algorithms can help you leverage the relationships within your data to develop more intelligent solutions and enhance your machine learning models. You’ll learn how graph analytics are uniquely suited to unfold complex structures and reveal difficult-to-find patterns lurking in your data. Whether you are trying to build dynamic network models or forecast real-world behavior, this book illustrates how graph algorithms deliver value—from finding vulnerabilities and bottlenecks to detecting communities and improving machine learning predictions. This practical book walks you through hands-on examples of how to use graph algorithms in Apache Spark and Neo4j—two of the most common choices for graph analytics. Also included: sample code and tips for over 20 practical graph algorithms that cover optimal pathfinding, importance through centrality, and community detection. Learn how graph analytics vary from conventional statistical analysis Understand how classic graph algorithms work, and how they are applied Get guidance on which algorithms to use for different types of questions Explore algorithm examples with working code and sample datasets from Spark and Neo4j See how connected feature extraction can increase machine learning accuracy and precision Walk through creating an ML workflow for link prediction combining Neo4j and Spark