This book explores the expected parallel time and sequential space complexity of various graph and digraph problems. It provides an in-depth analysis of algorithms designed to solve these problems, focusing on their efficiency in terms of both time and space. The work is aimed at researchers and students in computer science, mathematics, and related fields who are interested in the theoretical aspects of computation and algorithm design.
Key topics include graph theory, parallel processing, algorithm analysis, and computational complexity. The book offers a rigorous treatment of the subject, combining theoretical results with practical considerations. It serves as a valuable resource for understanding the fundamental limitations and possibilities of solving graph and digraph problems using parallel and sequential computing models.
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