Overview
- Preperation measures also for short-term disaster warnings
Part of the book series: Mathematische Optimierung und Wirtschaftsmathematik | Mathematical Optimization and Economathematics (MOW)
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Table of contents (5 chapters)
Keywords
- Disaster Management
- Two-Stage Stochastic Models
- Two-Stage Stochastic Programming
- Solution Method
- L-Shaped Method
- Accelerated L-Shaped Method
- Interior-Point Method
- Case Studies in Disaster Management
- Short-term Disaster Warnings
- Hurricane Katrina Case Study
- Hurricane-prone Gulf Coast
- Hurricane-prone Atlantic Coast
About this book
About the Author
Emilia Graß holds a PhD from the Hamburg University of Technology, Germany. She is currently working as guest researcher on the project cyber security in healthcare at the Centre for Health Policy, Imperial College London, UK. Her scientific focus is on stochastic programming, solution methods, disaster management and healthcare.
Authors and Affiliations
About the author
Emilia Graß holds a PhD from the Hamburg University of Technology, Germany. She is currently working as guest researcher on the project cyber security in healthcare at the Centre for Health Policy, Imperial College London, UK. Her scientific focus is on stochastic programming, solution methods, disaster management and healthcare.
Bibliographic Information
Book Title: An Accelerated Solution Method for Two-Stage Stochastic Models in Disaster Management
Authors: Emilia Graß
Series Title: Mathematische Optimierung und Wirtschaftsmathematik | Mathematical Optimization and Economathematics
DOI: https://doi.org/10.1007/978-3-658-24081-3
Publisher: Springer Spektrum Wiesbaden
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Fachmedien Wiesbaden GmbH, part of Springer Nature 2018
Softcover ISBN: 978-3-658-24080-6Published: 13 November 2018
eBook ISBN: 978-3-658-24081-3Published: 02 November 2018
Series ISSN: 2523-7926
Series E-ISSN: 2523-7934
Edition Number: 1
Number of Pages: XVII, 155
Number of Illustrations: 26 b/w illustrations, 10 illustrations in colour
Topics: Operations Research, Management Science, Calculus of Variations and Optimal Control; Optimization, Computational Mathematics and Numerical Analysis