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Record 1 of 282
You searched IISERK - Subject: Operating systems (Computers)
Tag In 1 In 2 Data
001  vtls000034470
003  IISER-K
005  20200219120900.0
007  cr nn 008mamaa
008  200219s2018 gw | s |||| 0|eng d
020  \a 9783658240813 \9 978-3-658-24081-3
035  \a (DE-He213)978-3-658-24081-3
039 9\y 202002191209 \z Siladitya
050 4\a QA402-402.37
050 4\a T57.6-57.97
08204\a 519.6 \2 23
1001 \a Graß, Emilia. \e author. \4 aut \4 http://id.loc.gov/vocabulary/relators/aut
24513\a An Accelerated Solution Method for Two-Stage Stochastic Models in Disaster Management \h [electronic resource] / \c by Emilia Graß.
250  \a 1st ed. 2018.
264 1\a Wiesbaden : \b Springer Fachmedien Wiesbaden : \b Imprint: Springer Spektrum, \c 2018.
300  \a XVII, 155 p. 36 illus., 10 illus. in color. \b online resource.
336  \a text \b txt \2 rdacontent
337  \a computer \b c \2 rdamedia
338  \a online resource \b cr \2 rdacarrier
347  \a text file \b PDF \2 rda
4901 \a Mathematische Optimierung und Wirtschaftsmathematik | Mathematical Optimization and Economathematics, \x 2523-7926
5050 \a Quantitative Optimization Models in Disaster Management: A Literature Review -- Solution Methods in Disaster Management: A Literature Review -- The Accelerated L-Shaped Method -- Case Study Design -- Numerical Experiments and Analysis.
520  \a 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. Contents Quantitative Optimization Models in Disaster Management: A Literature Review Solution Methods in Disaster Management: A Literature Review The Accelerated L-Shaped Method Case Study Design Numerical Experiments and Analysis Target Groups Scientist and students in the fields of operations research, optimization and numerical algorithms Practitioners working in charities and NGOs 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.
650 0\a Operations research.
650 0\a Management science.
650 0\a Calculus of variations.
650 0\a Computer mathematics.
65014\a Operations Research, Management Science. \0 http://scigraph.springernature.com/things/product-market-codes/M26024
65024\a Calculus of Variations and Optimal Control; Optimization. \0 http://scigraph.springernature.com/things/product-market-codes/M26016
65024\a Computational Mathematics and Numerical Analysis. \0 http://scigraph.springernature.com/things/product-market-codes/M1400X
7102 \a SpringerLink (Online service)
7730 \t Springer eBooks
77608\i Printed edition: \z 9783658240806
77608\i Printed edition: \z 9783658240820
830 0\a Mathematische Optimierung und Wirtschaftsmathematik | Mathematical Optimization and Economathematics, \x 2523-7926
85640\u https://doi.org/10.1007/978-3-658-24081-3
912  \a ZDB-2-SMA
950  \a Mathematics and Statistics (Springer-11649)

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