LEADER 04043nam 22005655 450 001 9910300106203321 005 20200630085641.0 010 $a3-658-24081-4 024 7 $a10.1007/978-3-658-24081-3 035 $a(CKB)4100000007110544 035 $a(MiAaPQ)EBC5592907 035 $a(DE-He213)978-3-658-24081-3 035 $z(PPN)258872675 035 $a(PPN)232470146 035 $a(EXLCZ)994100000007110544 100 $a20181102d2018 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 13$aAn Accelerated Solution Method for Two-Stage Stochastic Models in Disaster Management /$fby Emilia Graß 205 $a1st ed. 2018. 210 1$aWiesbaden :$cSpringer Fachmedien Wiesbaden :$cImprint: Springer Spektrum,$d2018. 215 $a1 online resource (xvii, 155 pages) $cillustrations 225 1 $aMathematische Optimierung und Wirtschaftsmathematik | Mathematical Optimization and Economathematics,$x2523-7926 311 $a3-658-24080-6 327 $aQuantitative 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. 330 $aEmilia Graß develops a solution method which can provide fast and near-optimal solutions to realistic large-scale two-stage stochastic problems in disaster management. The author proposes a specialized interior-point method to accelerate the standard L-shaped algorithm. She shows that the newly developed solution method solves two realistic large-scale case studies for the hurricane prone Gulf and Atlantic coast faster than the standard L-shaped method and a commercial solver. The accelerated solution method enables relief organizations to employ appropriate preparation measures even in the case of short-term disaster warnings. Contents Quantitative Optimization Models in Disaster Management: A Literature Review Solution Methods in Disaster Management: A Literature Review The Accelerated L-Shaped Method Case Study Design Numerical Experiments and Analysis Target Groups Scientist and students in the fields of operations research, optimization and numerical algorithms Practitioners working in charities and NGOs About the Author Emilia Graß holds a PhD from the Hamburg University of Technology, Germany. She is currently working as guest researcher on the project cyber security in healthcare at the Centre for Health Policy, Imperial College London, UK. Her scientific focus is on stochastic programming, solution methods, disaster management and healthcare. 410 0$aMathematische Optimierung und Wirtschaftsmathematik | Mathematical Optimization and Economathematics,$x2523-7926 606 $aOperations research 606 $aManagement science 606 $aCalculus of variations 606 $aComputer science$xMathematics 606 $aOperations Research, Management Science$3https://scigraph.springernature.com/ontologies/product-market-codes/M26024 606 $aCalculus of Variations and Optimal Control; Optimization$3https://scigraph.springernature.com/ontologies/product-market-codes/M26016 606 $aComputational Mathematics and Numerical Analysis$3https://scigraph.springernature.com/ontologies/product-market-codes/M1400X 615 0$aOperations research. 615 0$aManagement science. 615 0$aCalculus of variations. 615 0$aComputer science$xMathematics. 615 14$aOperations Research, Management Science. 615 24$aCalculus of Variations and Optimal Control; Optimization. 615 24$aComputational Mathematics and Numerical Analysis. 676 $a519.2 700 $aGraß$b Emilia$4aut$4http://id.loc.gov/vocabulary/relators/aut$0767688 906 $aBOOK 912 $a9910300106203321 996 $aAccelerated Solution Method for Two-Stage Stochastic Models in Disaster Management$91563175 997 $aUNINA