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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.
Parameterized Complexity Theory Автор: J. Flum Год: 2006 |
Invitation to fixed-parameter algorithms Автор: Rolf Niedermeier Год: 2006 |
Parameterized Complexity Theory (Texts in Theoretical Computer Science. An EATCS Series) Автор: J. Flum, M. Grohe Год: 2006 |
Evolutionary Algorithms in Theory and Practice Автор: Thomas Bäck Год: 1996 |
Applied Dynamic Programming for Optimization of Dynamical Systems Автор: Rush D. Robinett III, David G. Wilson, G. Richard Eisler, John E. Hurtado Год: 2005 |
Algorithms - Functional Programming Approach Автор: Rabhi Год: 1999 |