2015 / xvi + 376 pages / Softcover / ISBN 978-1-611973-68-6 / List Price $99.00 / SIAM Member Price $69.30 / Order Code MO21
Keywords: gas transport, mixed integer nonlinear optimization, MINLP, application, operations research
Winner of the 2016 Euro Excellence in Practice Award!
This book addresses a seemingly simple question: Can a certain amount of gas be transported through a pipeline network? The question is difficult, however, when asked in relation to a meshed nationwide gas transportation network and when taking into account the technical details and discrete decisions, as well as regulations, contracts, and varying demands, involved. This book provides an introduction to the field of gas transportation planning and
Readers will also find a glossary of gas transport terms, tables listing the physical and technical quantities and constants used throughout the book, and a reference list of regulation and gas business literature.
This book is intended for mathematicians interested in industrial applications. Engineers working in gas transport will also find the book of interest.
About the Editors
Thorsten Koch is a professor of Software and Algorithms for Discrete Optimization at TU Berlin and director of the Scientific Information Department at Zuse Institute Berlin (ZIB). He joined ZIB in 1998, became a member of the DFG research center MATHEON in 2001 and has served as head of the Linear and Nonlinear Integer Programming Group since 2009. He has led joint research projects with industrial partners in the planning of infrastructure networks, chip verification, and integer programming.
Benjamin Hiller is a postdoc researcher at Zuse Institute Berlin. His research interests involve solution methods for large-scale real-world optimization problems, in particular mixed-integer (nonlinear) programming, and column generation. His recent work focuses on optimization problems related to gas transportation networks.
Marc E. Pfetsch was a postdoc researcher at Zuse Institute Berlin from 2002 to 2008, where he finished his habilitation in 2008. That year he was appointed full professor for Mathematical Optimization at TU Braunschweig. Since 2012 he has been full professor for Discrete Optimization at TU Darmstadt. His research interests are integer and mixed-integer nonlinear programming, in particular infeasibility and symmetry handling.
Lars Schewe is a postdoc researcher at Friedrich-Alexander Universität Erlangen-Nürnberg. His research interests include mixed-integer (nonlinear) optimization with an emphasis on problems in networks.
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