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The matching problem is central to graph theory and the theory of algorithms. This book provides a comprehensive and straightforward introduction to the basic methods for designing efficient parallel algorithms for graph matching problems. Written for students at the beginning graduate level, the exposition is largely self-contained and example-driven; prerequisites have been kept to a minimum by including relevant background material. The book contains full details of several new techniques and will be of interest to researchers in computer science, operations research, discrete mathematics, and electrical engineering. The main theoretical tools are presented in three independent chapters, devoted to combinatorial tools, probabilistic tools, and algebraic tools. One of the goals of the book is to show how these three approaches can be combined to develop efficient parallel algorithms. The book represents a meeting point of interesting algorithmic techniques and opens up new algebraic and geometric areas.
This book investigates the design and implementation of efficient parallel algorithms specifically tailored for solving graph matching problems. Authors Marek Karpinski and Wojciech Rytter, both established researchers in theoretical computer science, synthesize complex algorithmic techniques into a structured framework. By focusing on the intersection of combinatorial, probabilistic, and algebraic methods, the text provides a rigorous foundation for graduate-level students and practitioners to develop high-performance computational solutions.
What You Will Find
Experts recognize this text as a foundational resource for those specializing in parallel computing and discrete mathematics. Readers frequently note the academic density of the prose, which is balanced by the inclusion of clear, example-driven explanations.
Page Count:
224
Publication Date:
1998-05-28
Publisher:
Clarendon Press
ISBN-10:
0198501625
ISBN-13:
9780198501626
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