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Generalized Bounds for Convex Multistage Stochastic Programs Daniel Kuhn
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Generalized Bounds for Convex Multistage Stochastic Programs von Daniel KuhnÜber Uns
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Generalized Bounds for Convex Multistage Stochastic Programs
Daniel Kuhn
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Art Nr.:
3540225404
ISBN 13:
9783540225409
Serie:
548
ReleaseYear:
2004
Published by:
Springer-Verlag Gmbh
Edition:
2005. 2005
Cover:
Taschenbuch
Cover Format:
239x159x18 mm
Pages:
190
Weight:
334 g
Language:
Englisch
Author:
Daniel Kuhn
Weitere Bücher:
Daniel Kuhn
of this publishing house
Entscheidungstheorie Operations Research Unternehmensforschung Wirtschaftstheorie Mathematik / Statistik Stochastik Wahrscheinlichkeitsrechnung Mathematik Optimierung F u. E (Forschung und Entwicklung) Business / Management Management Informatik Lineare Programmierung
Beschreibung
Description
This work was completed during my tenure as a scientific assistant and d- toral student at the Institute for Operations Research at the University of St. Gallen. During that time, I was involved in several industry projects in the field of power management, on the occasion of which I was repeatedly c- fronted with complex decision problems under uncertainty. Although usually hard to solve, I quickly learned to appreciate the benefit of stochastic progr- ming models and developed a strong interest in their theoretical properties. Motivated both by practical questions and theoretical concerns, I became p- ticularly interested in the art of finding tight bounds on the optimal value of a given model. The present work attempts to make a contribution to this important branch of stochastic optimization theory. In particular, it aims at extending some classical bounding methods to broader problem classes of practical relevance. This book was accepted as a doctoral thesis by the University of St. Gallen in June 2004.1 am particularly indebted to Prof. Dr. Karl Frauendorfer for - pervising my work. I am grateful for his kind support in many respects and the generous freedom I received to pursue my own ideas in research. My gratitude also goes to Prof. Dr. Georg Pflug, who agreed to co-chair the dissertation committee. With pleasure I express my appreciation for his encouragement and continuing interest in my work.
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