Kniha Programming in Networks and Graphs Ulrich Derigs

Programming in Networks and Graphs

On the Combinatorial Background and Near-Equivalence of Network Flow and Matching Algorithms

Autor: Ulrich Derigs
Jazyk: Angličtina
Vazba: Brožovaná
Dostupnost: Skladem u dodavatele
Odesíláme za 5-8 dnů
1 147
Network flow and matching are often treated separately in the literature and for each class a variet...

Informace o knize

Jazyk
Angličtina
Vazba
Kniha - Brožovaná
Stránek
315
EAN
9783540189695
ISBN
3540189696
Enbook ID
02172552
Hmotnost
545
Rozměry
152 x 229 x 19

Kompletní popis

Network flow and matching are often treated separately in the literature and for each class a variety of different algorithms has been developed. These algorithms are usually classified as primal, dual, primal-dual etc. The question the author addresses in this work is that of the existence of a common combinatorial principle which might be inherent in all those apparently different approaches. It is shown that all common network flow and matching algorithms implicitly follow the so-called shortest augmenting path. This can be interpreted as a greedy-like decision rule where the optimal solution is built up through a sequence of local optimal solutions. The efficiency of this approach is realized by combining this myopic decision rule with an anticipant organization. The approach of this work is organized as follows. For several standard flow and matching problems the common solution procedures are first reviewed. It is then shown that they all reduce to a common basic principle, that is, they all perform the same computational steps if certain conditions are set properly and ties are broken according to a common rule. Recognizing this near-equivalence of all commonly used algorithms the question of the best method has to be modified - all methods are (only) different implementations of the same algorithm obtained by different views of the problem.

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