Michael Holzhauser

Generalized Network Improvement and Packing Problems (eBook, PDF)

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Springer Fachmedien Wiesbaden
• Seitenzahl: 213
• Erscheinungstermin: 4. Januar 2017
• Englisch
• ISBN-13: 9783658168124
• Artikelnr.: 53151452

Autorenporträt

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.

Inhaltsangabe

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.

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