An Accelerated Solution Method for Two-Stage Stochastic Models in Disaster Management (Paperback, 1st ed. 2018)

Emilia Grass develops a solution method which can provide fast and near-optimal solutions to realistic large-scale two-stage stochastic problems in disaster management. The author proposes a specialized interior-point method to accelerate the standard L-shaped algorithm. She shows that the newly developed solution method solves two realistic large-scale case studies for the hurricane prone Gulf and Atlantic coast faster than the standard L-shaped method and a commercial solver. The accelerated solution method enables relief organizations to employ appropriate preparation measures even in the case of short-term disaster warnings.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.

General

Imprint:	Springer Spektrum
Country of origin:	Germany
Series:	Mathematische Optimierung und Wirtschaftsmathematik | Mathematical Optimization and Economathematics
Release date:	November 2018
First published:	2018
Authors:	Emilia Grass
Dimensions:	210 x 148mm (L x W)
Format:	Paperback
Pages:	155
Edition:	1st ed. 2018
ISBN-13:	978-3-658-24080-6
Categories:	Books > Science & Mathematics > Mathematics > Numerical analysis Books > Earth & environment > The environment > Environmental impact of natural disasters & phenomena Books > Science & Mathematics > Mathematics > Calculus & mathematical analysis > Calculus of variations Books > Science & Mathematics > Mathematics > Applied mathematics > Stochastics Promotions
LSN:	3-658-24080-6
Barcode:	9783658240806

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