Graph-Theoretic Concepts in Computer Science

This book addresses key conceptual issues relating to the modern scientific and engineering use of computer simulations. It analyses a broad set of questions, from the nature

This outstanding introductory treatment is geared toward advanced undergraduates and graduate students in all areas that require knowledge of graph theory. The first nine chapters constitute

This book is aimed to provide a comprehensive insight into the field of computer science. Computer science is a multidisciplinary field that incorporates both theory and applications of computations.

This book provides the reader with research arising from the Humboldt-Kolleg ‘Proof’ held in Bern in fall 2013, which gathered more than sixty leading experts actively involved with the concept ‘proof

This book constitutes the revised selected papers of the 37th International Workshop on Graph-Theoretic Concepts in Computer Science, WG 2011, held at Tepla Monastery, Czech Republic, in June 2011.The

This accessible book provides an introduction to the analysis and design of dynamic multiagent networks. Such networks are of great interest in a wide range of areas in science and engineering, includ

This book constitutes the thoroughly refereed post-conference proceedings of the 35th International Workshop on Graph-Theoretic Concepts in Computer Science, WG 2009, held in Montpellier, France, in J

This book presents fundamental contributions to computer science as written and recounted by those who made the contributions themselves. As such, it is a highly original approach to a "living histor

This book constitutes the thoroughly refereed post-conference proceedings of the 34th International Workshop on Graph-Theoretic Concepts in Computer Science, WG 2008, held in Durham, UK, in June/July

This book constitutes the refereed proceedings of the 28th International Workshop on Graph-Theoretic Concepts in Computer Science, WG 2002, held in Cesky Krumlov, Czech Republic in June 2002.The 36 re

Learn about the state-of-the-art at the interface between information theory and data science with this first unified treatment of the subject. Written by leading experts in a clear, tutorial style, and using consistent notation and definitions throughout, it shows how information-theoretic methods are being used in data acquisition, data representation, data analysis, and statistics and machine learning. Coverage is broad, with chapters on signal acquisition, data compression, compressive sensing, data communication, representation learning, emerging topics in statistics, and much more. Each chapter includes a topic overview, definition of the key problems, emerging and open problems, and an extensive reference list, allowing readers to develop in-depth knowledge and understanding. Providing a thorough survey of the current research area and cutting-edge trends, this is essential reading for graduate students and researchers working in information theory, signal processing, machine le

Glencoe’s Computer Concepts in Action revised edition is designed for Microsoft Office 2007 and Windows Vista. It is written specifically to meet the needs of secondary students and teachers, and meet

For introductory courses in computer concepts and Microsoft® Office. Seamless Microsoft Office instruction, practice, and assessment – coupled with computer concepts With GO! All in One

This volume contains the proceedings of the 2017 International Conference on Frontiers in Education: Computer Science and Computer Engineering (FECS'17).