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Synopsis
Excerpt from A Fast and Simple Algorithm for the Maximum Flow Problem
Due to Ford and Fulkerson [1956] Edmonds and Karp [1972] Dinic [1970] Karzanov [1974] Cherkasky [1977] Malhotra, Kumar and Maheshwari [1978] Galil [1980] Galil and Naamad Shiloach [1978] Shiloach and hkin [1982] Sleator and Tarjan [1983] Tarjan [1984] Gabow [1985] Goldberg [1985] Goldberg and Taxjan [1986] Chen'yan and Maheshwari [1987] Ahuja and Odin [1987] Ahuja, 0m and Tarjan [1987.
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- ÉditeurForgotten Books
- Date d'édition2018
- ISBN 10 1332260799
- ISBN 13 9781332260799
- ReliureBroché
- Langueanglais
- Nombre de pages36
- Coordonnées du fabricantnon disponible
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A Fast and Simple Algorithm for the Maximum Flow Problem (Classic Reprint)
Vendeur : PBShop.store US, Wood Dale, IL, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000. N° de réf. du vendeur LW-9781332260799
Quantité disponible : 15 disponible(s)
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A Fast and Simple Algorithm for the Maximum Flow Problem (Classic Reprint)
Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
Évaluation du vendeur 4 sur 5 étoiles
PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000. N° de réf. du vendeur LW-9781332260799
Quantité disponible : 15 disponible(s)
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A Fast and Simple Algorithm for the Maximum Flow Problem (Classic Reprint)
impression à la demandeVendeur : Forgotten Books, London, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Paperback. Etat : New. Print on Demand. This book introduces a groundbreaking algorithm for solving the maximum flow problem in a network, a problem at the heart of network theory with applications in operations research, engineering, and computer science. The author improves upon previous algorithms, including the prevalent Goldberg-Tarjan algorithm, by introducing a novel excess scaling technique. This approach significantly reduces the number of non-saturating pushes, leading to an improved time complexity of O(nm n2 log U), where U represents the upper bound on integral arc capacities. The algorithm becomes particularly efficient when U is polynomially bounded in n, outperforming existing approaches in such scenarios. Unlike complex layered network-based algorithms, this approach leverages distance labels, offering simplicity and ease of implementation. The book also discusses future directions and potential refinements to the algorithm, making it a valuable resource for researchers and practitioners seeking to optimize network flows. 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. N° de réf. du vendeur 9781332260799_0
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