Generalized Network Improvement and Packing Problems (PDF)
(Sprache: Englisch)
Michael Holzhauser discusses generalizations of well-known network flow and packing problems by additional or modified side constraints. By exploiting the inherent connection between the two problem classes, the author investigates the complexity and...
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Michael Holzhauser discusses generalizations of well-known network flow and packing problems 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.
Contents
- Fractional Packing and Parametric Search Frameworks
- Budget-Constrained Minimum Cost Flows: The Continuous Case
- Budget-Constrained Minimum Cost Flows: The Discrete Case
- Generalized Processing Networks
- Convex Generalized Flows
Target Groups
- Researchers and students in the fields of mathematics, computer science, and economics
- Practitioners in operations research and logistics
The Author
Dr. Michael Holzhauser studied computer science at the University of Kaiserslautern and is now a research fellow in the Optimization Research Group at the Department of Mathematics of the University of Kaiserslautern.
Autoren-Porträt von Michael Holzhauser
Dr. Michael Holzhauser studied computer science at the University of Kaiserslautern and is now a research fellow in the Optimization Research Group at the Department of Mathematics of the University of Kaiserslautern.
Bibliographische Angaben
- Autor: Michael Holzhauser
- 2017, 1st ed. 2016, 213 Seiten, Englisch
- Verlag: Gabler, Betriebswirt.-Vlg
- ISBN-10: 3658168129
- ISBN-13: 9783658168124
- Erscheinungsdatum: 04.01.2017
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: PDF
- Größe: 2.55 MB
- Ohne Kopierschutz
- Vorlesefunktion
Sprache:
Englisch
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