Fundamentals of Parameterized Complexity (Texts in Computer Science) - Softcover

Downey, Rodney G.; Fellows, Michael R.

Softcover

ISBN 10: 1447171640 ISBN 13: 9781447171645

Publisher: Springer, 2016

Synopsis

This comprehensive and self-contained textbook presents an accessible overview of the state of the art of multivariate algorithmics and complexity. Increasingly, multivariate algorithmics is having significant practical impact in many application domains, with even more developments on the horizon. The text describes how the multivariate framework allows an extended dialog with a problem, enabling the reader who masters the complexity issues under discussion to use the positive and negative toolkits in their own research. Features: describes many of the standard algorithmic techniques available for establishing parametric tractability; reviews the classical hardness classes; explores the various limitations and relaxations of the methods; showcases the powerful new lower bound techniques; examines various different algorithmic solutions to the same problems, highlighting the insights to be gained from each approach; demonstrates how complexity methods and ideas have evolved over the past 25 years.

About this title

About the Author

Dr. Rodney G. Downey is a Professor in the School of Mathematics, Statistics and Operations Research, at the Victoria University of Wellington, New Zealand.

Dr. Michael R. Fellows is a Professor in the School of Engineering and Information Technology, at the Charles Darwin University, Darwin, NT, Australia.

From the Back Cover

The field of parameterized complexity/multivariate complexity algorithmics is an exciting and vibrant part of theoretical computer science, responding to the vital need for efficient algorithms in modern society.

This comprehensive and self-contained textbook presents an accessible overview of the state of the art of multivariate algorithmics and complexity. Increasingly, multivariate algorithmics is having significant practical impact in many application domains, with even more developments on the horizon. The text describes how the multivariate framework allows an extended dialog with a problem, enabling the reader who masters the complexity issues under discussion to use the positive and negative toolkits in their own research.

Topics and features:

• Describes many of the standard algorithmic techniques available for establishing parametric tractability
• Reviews the classical hardness classes
• Explores the various limitations and relaxations of the methods
• Showcases the powerful new lower bound techniques
• Examines various different algorithmic solutions to the same problems, highlighting the insights to be gained from each approach
• Demonstrates how complexity methods and ideas have evolved over the past 25 years

This classroom-tested and easy-to-follow textbook/reference is essential reading for the beginning graduate student and advanced undergraduate student. The book will also serve as an invaluable resource for the general computer scientist and the mathematically-aware scientist seeking tools for their research.

Edition details

• Publisher: Springer
• Publication date: 2016
• Language: English
• ISBN 10: 1447171640
• ISBN 13: 9781447171645
• Binding: Paperback
• Number of pages: 793