Sampling-based Approximation Algorithms for Multi-stage Stochastic Optimization

Chaitanya Swamy, David B. Shmoys. Sampling-based Approximation Algorithms for Multi-stage Stochastic Optimization. In Martin Dietzfelbinger, Shang-Hua Teng, Eli Upfal, Berthold Vöcking, editors, Probabilistic Methods in the Design and Analysis of Algorithms, 23.09. - 28.09.2007. Volume 07391 of Dagstuhl Seminar Proceedings, Internationales Begegnungs- und Forschungszentrum fuer Informatik (IBFI), Schloss Dagstuhl, Germany, 2007. [doi]

@inproceedings{SwamyS07,
  title = {Sampling-based Approximation Algorithms for Multi-stage Stochastic Optimization},
  author = {Chaitanya Swamy and David B. Shmoys},
  year = {2007},
  url = {http://drops.dagstuhl.de/opus/volltexte/2007/1290},
  tags = {optimization, rule-based},
  researchr = {https://researchr.org/publication/SwamyS07},
  cites = {0},
  citedby = {0},
  booktitle = {Probabilistic Methods in the Design and Analysis of Algorithms, 23.09. - 28.09.2007},
  editor = {Martin Dietzfelbinger and Shang-Hua Teng and Eli Upfal and Berthold Vöcking},
  volume = {07391},
  series = {Dagstuhl Seminar Proceedings},
  publisher = {Internationales Begegnungs- und Forschungszentrum fuer Informatik (IBFI), Schloss Dagstuhl, Germany},
}