This book presents a new approach to improving the efficiency of the maximum flow problem, a cornerstone of network flow theory with wide-ranging applications in computer science, operations research, and other disciplines. The author extends and refines existing preflow algorithms to obtain asymptotically faster running times for the problem. The book offers a detailed analysis of these improved algorithms, showing how they achieve their speedup and providing insights into the behavior of network flow algorithms in general. It concludes by introducing dynamic trees, a sophisticated data structure, into the mix to further enhance efficiency, resulting in the fastest known algorithm for the maximum flow problem at the time of writing.
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EUR 1,91 per la spedizione da U.S.A. a Italia
Destinazione, tempi e costiDa: PBShop.store US, Wood Dale, IL, U.S.A.
PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000. Codice articolo LW-9781333734817
Quantità: 15 disponibili
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000. Codice articolo LW-9781333734817
Quantità: 15 disponibili
Da: Forgotten Books, London, Regno Unito
Paperback. Condizione: New. Print on Demand. This book presents a new approach to improving the efficiency of the maximum flow problem, a cornerstone of network flow theory with wide-ranging applications in computer science, operations research, and other disciplines. The author extends and refines existing preflow algorithms to obtain asymptotically faster running times for the problem. The book offers a detailed analysis of these improved algorithms, showing how they achieve their speedup and providing insights into the behavior of network flow algorithms in general. It concludes by introducing dynamic trees, a sophisticated data structure, into the mix to further enhance efficiency, resulting in the fastest known algorithm for the maximum flow problem at the time of writing. 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. print-on-demand item. Codice articolo 9781333734817_0
Quantità: Più di 20 disponibili