A Strong-Connectivity Algorithm and Its Applications in Data Flow Analysis

Language: English

Published by Forgotten Books, 2024

1332201032 / 9781332201037

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  • New
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Print on Demand. This book presents an efficient algorithm for identifying strongly connected components within directed graphs. The algorithm, developed by the author, offers a significant improvement over existing methods by producing components in reverse postorder and organizing nodes within each component in the same order. This ordering facilitates iterative algorithms used in data flow analysis, leading to a simpler and more efficient approach. The book delves into the theoretical foundations of the algorithm, proving its correctness and analyzing its time complexity. It also explores applications in data flow analysis, demonstrating how the algorithm can enhance the accuracy and efficiency of data flow analysis problems. Overall, this book provides valuable insights into graph connectivity and offers a practical solution for optimizing data flow analysis in computer science applications. This book is a reproduction of an important historical work, digitally reconstructed using state-of-the-art technology to preserve the original format. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in the book.

Seller Inventory # 9781332201037_0

Title
A Strong-Connectivity Algorithm and Its Applications in Data Flow Analysis
Author
M. Sharir
Publisher
Forgotten Books
Publication year
2024
Condition
New
Book Type
print-on-demand item
Binding
Paperback
Language
English
ISBN 10
1332201032
ISBN 13
9781332201037
Seller catalogs
Calculus

Forgotten Books

London, United Kingdom

5-star seller

AbeBooks seller since June 2, 2021

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Forgotten Books’ Classic Reprint Series utilizes the latest technology to regenerate facsimiles of historically important writings. Careful attention has been made to accurately preserve the original format of each page whilst digitally enhancing the quality of the aged text.

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