@article{856380,
      author = {Grass, Emilia,},
      url = {http://library.usi.edu/record/856380},
      title = {An accelerated solution method for two-stage stochastic  models in disaster management /},
      abstract = {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. 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 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.--},
      doi = {https://doi.org/10.1007/978-3-658-24081-3},
      recid = {856380},
      pages = {1 online resource (xvii, 155 pages) :},
}