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This research-level text is an application-oriented introduction to the growing and highly topical area of the development and analysis of efficient fixed-parameter algorithms for optimally solving computationally hard combinatorial problems. The book is divided into three parts: a broad introduction that provides the general philosophy and motivation; followed by coverage of algorithmic methods developed over the years in fixed-parameter algorithmics forming the core of the book; and a discussion of the essentials from parameterized hardness theory with a focus on W[1]-hardness which parallels NP-hardness, then stating some relations to polynomial-time approximation algorithms, and finishing up with a list of selected case studies to show the wide range of applicability of the presented methodology. Aimed at graduate and research mathematicians, programmers, algorithm designers, and computer scientists, the book introduces the basic techniques and results and provides a fresh view on this highly innovative field of algorithmic research.
This text investigates the development and analysis of efficient fixed-parameter algorithms designed to solve computationally hard combinatorial problems. Rolf Niedermeier, a recognized authority in algorithmic research, provides a structured framework for understanding parameterized complexity. The book synthesizes theoretical foundations with practical application, offering a comprehensive overview of methods used to address problems that are otherwise intractable in standard polynomial time.
What You Will Find
Scope Limits
Experts and researchers in computer science identify this work as a foundational text for those specializing in parameterized complexity. Readers frequently note the academic density of the prose, which is tailored specifically for graduate-level study and professional algorithmic design.
Page Count:
312
Publication Date:
2006-01-01
Publisher:
OUP Oxford
ISBN-10:
0191524158
ISBN-13:
9780191524158
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