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In den WarenkorbZustand: New. In.
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Verlag: Spektrum Akademischer Verlag Gmbh, 2020
ISBN 10: 3658305797 ISBN 13: 9783658305796
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In den WarenkorbPaperback. Zustand: Brand New. 212 pages. 8.27x5.83x0.51 inches. In Stock.
Sprache: Englisch
Verlag: Springer Fachmedien Wiesbaden, 2020
ISBN 10: 3658305797 ISBN 13: 9783658305796
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Oleg Wilfer presents a new conjugate duality concept for geometric and cone constrained optimization problems whose objective functions are a composition of finitely many functions. As an application, the author derives results for single minmax location problems formulated by means of extended perturbed minimal time functions as well as for multi-facility minmax location problems defined by gauges. In addition, he provides formulae of projections onto the epigraphs of gauges to solve these kinds of location problems numerically by using parallel splitting algorithms. Numerical comparisons of recent methods show the excellent performance of the proposed solving technique. About the Author:Dr. Oleg Wilfer received his PhD at the Faculty of Mathematics of Chemnitz University of Technology, Germany. He is currently working as a development engineer in the automotive industry.
Taschenbuch. Zustand: Neu. Multi-Composed Programming with Applications to Facility Location | Oleg Wilfer | Taschenbuch | Mathematische Optimierung und Wirtschaftsmathematik Mathematical Optimization and Economathematics | xix | Englisch | 2020 | Springer VS | EAN 9783658305796 | Verantwortliche Person für die EU: Springer Spektrum in Springer Science + Business Media, Tiergartenstr. 15-17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Zustand: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | Oleg Wilfer presents a new conjugate duality concept for geometric and cone constrained optimization problems whose objective functions are a composition of finitely many functions. As an application, the author derives results for single minmax location problems formulated by means of extended perturbed minimal time functions as well as for multi-facility minmax location problems defined by gauges. In addition, he provides formulae of projections onto the epigraphs of gauges to solve these kinds of location problems numerically by using parallel splitting algorithms. Numerical comparisons of recent methods show the excellent performance of the proposed solving technique.¿About the Author:Dr. Oleg Wilfer received his PhD at the Faculty of Mathematics of Chemnitz University of Technology, Germany. He is currently working as a development engineer in the automotive industry.