References in zbMATH (referenced in 13 articles )

Showing results 1 to 13 of 13.
Sorted by year (citations)

  1. Cooper, Kyle; Hunter, Susan R.: PyMOSO: software for multiobjective simulation optimization with R-PERLE and R-MinRLE (2020)
  2. L’Ecuyer, Pierre; Munger, David; Oreshkin, Boris; Simard, Richard: Random numbers for parallel computers: requirements and methods, with emphasis on gpus (2017)
  3. Ni, Eric C.; Ciocan, Dragos F.; Henderson, Shane G.; Hunter, Susan R.: Efficient ranking and selection in parallel computing environments (2017)
  4. Lenôtre, Lionel: A strategy for parallel implementations of stochastic Lagrangian simulation (2016)
  5. Li, Jie; Zheng, Jianliang; Whitlock, Paula: MaD0: an ultrafast nonlinear pseudorandom number generator (2016)
  6. Karl, Andrew T.; Eubank, Randy; Milovanovic, Jelena; Reiser, Mark; Young, Dennis: Using rngstreams for parallel random number generation in C++ and R (2014)
  7. Kastner, Gregor; Frühwirth-Schnatter, Sylvia: Ancillarity-sufficiency interweaving strategy (ASIS) for boosting MCMC estimation of stochastic volatility models (2014)
  8. L’Ecuyer, Pierre; Simard, Richard: On the lattice structure of a special class of multiple recursive random number generators (2014)
  9. Beliakov, Gleb; Johnstone, Michael; Creighton, Doug; Wilkin, Tim: An efficient implementation of Bailey and Borwein’s algorithm for parallel random number generation on graphics processing units (2013)
  10. Maxwell, Matthew S.; Henderson, Shane G.; Topaloglu, Huseyin: Tuning approximate dynamic programming policies for ambulance redeployment via direct search (2013)
  11. Avramidis, Athanassios N.; Chan, Wyean; Gendreau, Michel; L’Ecuyer, Pierre; Pisacane, Ornella: Optimizing daily agent scheduling in a multiskill call center (2010)
  12. Erhel, J.; De Dreuzy, J. R.; Bresciani, E.: Multi-parametric intensive stochastic simulations for hydrogeology on a computational grid (2010)
  13. Tang, Hui-Chin: Reverse multiple recursive random number generators (2005)