Описание: Emilia Gra? 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 AuthorEmilia Gra? 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.
Описание: For students and practitioners interested in developing their skills in the construction of analytical tools and visual demonstrations in Excel. Covering everything from the basics of working in Excel, to a variety of critical analytical and custom visual techniques, and programmatic approaches to developing seamless professional tools.
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