Titlebook: Generalized Network Improvement and Packing Problems; Michael Holzhauser Book 2016 Springer Fachmedien Wiesbaden GmbH 2016 Computational C

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oblems by additional or modified side constraints. By exploiting the inherent connection between the two problem classes, the author investigates the complexity and approximability of several novel network flow and packing problems and presents combinatorial solution and approximation algorithms.978-3-658-16811-7978-3-658-16812-4

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The Electronic Media and British Dramaine the underlying model of computation. Moreover, we introduce the most common network flow problems that will be used and extended throughout the thesis and define the notion of approximation algorithms. In the very most cases, we comply with standard notations and definitions, so the familiar rea

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Robert E. Hosmer (Lecturer in English)metric search framework due to Megiddo (1979, 1983), which can often be used to solve parametric variants of known combinatorial problems in strongly polynomial time. On the other hand, we will review the fractional packing framework by Garg and Koenemann (2007), which yields generic fully polynomia

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https://doi.org/10.1057/9781403973542edge. The goal is to minimize the first kind of costs as in traditional minimum cost flows while the total usage fee of a flow must additionally fulfill a budget constraint. In the first part of this chapter, we present a specialized network simplex algorithm for the problem. In particular, we provi

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