Generalized Network Improvement and Packing Problems
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 appr
- PDF / 2,669,554 Bytes
- 220 Pages / 419.528 x 595.276 pts Page_size
- 68 Downloads / 208 Views
Generalized Network Improvement and Packing Problems
Generalized Network Improvement and Packing Problems
Michael Holzhauser
Generalized Network Improvement and Packing Problems
Michael Holzhauser Technische Universität Kaiserslautern Germany Vom Fachbereich Mathematik der Technischen Universität Kaiserslautern zur Verleihung des akademischen Grades Doktor der Naturwissenschaften (Doctor rerum naturalium, Dr. rer. nat.) genehmigte Dissertation, 2016 D 386 Erstgutachter: Prof. Dr. Sven O. Krumke Zweitgutachter: Prof. Dr. Andreas Bley Tag der Disputation: 19. August 2016
ISBN 978-3-658-16811-7 ISBN 978-3-658-16812-4 (eBook) DOI 10.1007/978-3-658-16812-4 Library of Congress Control Number: 2016961699 Springer Spektrum © Springer Fachmedien Wiesbaden GmbH 2016 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. Printed on acid-free paper This Springer Spektrum imprint is published by Springer Nature The registered company is Springer Fachmedien Wiesbaden GmbH The registered company address is: Abraham-Lincoln-Str. 46, 65189 Wiesbaden, Germany
Acknowledgments
First and foremost, I am most indebted to my supervisor Prof. Dr. Sven O. Krumke, who gave me the opportunity to work in the Optimization Research Group at the University of Kaiserslautern and to write this thesis. Much more than this, I thank him for the never-ending support he gave me and the pleasant atmosphere when working together. His unlimited treasure of ideas and his overview of related work contributed significantly to the results of this thesis. Furthermore, I would like to thank my co-supervisor Juniorprof. Dr. Clemens Thielen for all the support he gave me during the last three years and the dozens of hours we spent together while publishing our results. I also thank Prof. Dr. Andreas Bley for his effort in serving as a co-referee for this thesis. I wish to thank all my colleagues in the
Data Loading...
