Generalized network improvement and packing problems / by Michael Holzhauser.

Format:

Book

Author/Creator:

Holzhauser, Michael, Author.

Language:

English

Subjects (All):

Mathematical optimization.

Algorithms.

Discrete Optimization.

Mathematics of Algorithmic Complexity.

Local Subjects:

Discrete Optimization.

Algorithms.

Mathematics of Algorithmic Complexity.

Physical Description:

1 online resource (XVI, 213 p. 26 illus.)

Edition:

1st ed. 2016.

Place of Publication:

Wiesbaden : Springer Fachmedien Wiesbaden : Imprint: Springer Spektrum, 2016.

Summary:

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.

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.

ISBN:

9783658168124