Titlebook: An Accelerated Solution Method for Two-Stage Stochastic Models in Disaster Management; Emilia Graß Book 2018 Springer Fachmedien Wiesbaden

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Book 2018aster 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

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2523-7926 for Health Policy, Imperial College London, UK. Her scientific focus is on stochastic programming, solution methods, disaster management and healthcare...978-3-658-24080-6978-3-658-24081-3Series ISSN 2523-7926 Series E-ISSN 2523-7934

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An Accelerated Solution Method for Two-Stage Stochastic Models in Disaster Management

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Emilia GraßPreperation measures also for short-term disaster warnings

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Mathematische Optimierung und Wirtschaftsmathematik | Mathematical Optimization and Economathematicshttp://image.papertrans.cn/a/image/154794.jpg

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https://doi.org/10.1007/3-540-32465-8es to prevent and alleviate the dramatic consequences of disasters. The main priorities and strategies of disaster management are introduced in Section 2.1.1. Unfortunately, a variety of problems arise in the implementation of relief efforts, complicating the work of aid organizations significantly.

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https://doi.org/10.1007/3-540-32465-8 primary goal is to verify the effciency of the specialized interior-point method SIPM, introduced in Section 3.3.3, independent of the underlying problem size. For this purpose three case studies, namely a small-, medium- and large-scale case study, are presented.