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Parameterized complexity theory is a recent branch of computational complexity theory that provides a framework for a refined analysis of hard algorithmic problems. The central notion of the theory, fixed-parameter tractability, has led to the development of various new algorithmic techniques and a whole new theory of intractability. This book is a state-of-the-art introduction to both algorithmic techniques for fixed-parameter tractability and the structural theory of parameterized complexity classes, and it presents detailed proofs of recent advanced results that have not appeared in book form before. Several chapters are each devoted to intractability, algorithmic techniques for designing fixed-parameter tractable algorithms, and bounded fixed-parameter tractability and subexponential time complexity. The treatment is comprehensive, and the reader is supported with exercises, notes, a detailed index, and some background on complexity theory and logic. The book will be of interest to computer scientists, mathematicians and graduate students engaged with algorithms and problem complexity.
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Previews available in: English
Subjects
Computational complexity, Algorithms, Computer science, Information theory, Computer software, Symbolic and mathematical Logic, Algorithm Analysis and Problem Complexity, Mathematical Logic and Foundations, Theory of Computation, Computation by Abstract Devices, Mathematical Logic and Formal LanguagesEdition | Availability |
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Parameterized Complexity Theory (Texts in Theoretical Computer Science. An EATCS Series)
March 16, 2006, Springer
Hardcover
in English
- 1 edition
3540299521 9783540299523
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