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Now its over: Proceedings | Contest results | Plenary + Tutorial slides | Photos
The MCQMC conference series is a biennial meeting focused on Monte Carlo (MC) and quasi-Monte Carlo (QMC) methods in scientific computing. The conference attracts between 150 and 200 participants. Its aim is to provide a forum where leading researchers and users can exchange information on the latest theoretical developments and important applications of these methods. Recent conferences have attracted researchers in Markov chain Monte Carlo (MCMC). In a nutshell, MC methods study complex systems by simulations fed by computer-generated pseudorandom numbers. QMC methods replace these random numbers by more evenly distributed (carefully selected) numbers to improve their effectiveness. A large variety of special techniques are developed and used to make these methods more effective in terms of speed and accuracy. The conference focuses primarily on the mathematical study of these techniques, their implementation and adaptation for concrete applications, and their empirical assessment.
- Las Vegas, NV USA (1994)
- Salzburg, Austria (1996)
- Claremont, CA USA (1998)
- Hong Kong (2000)
- Singapore (2002)
- Juan-Les-Pins, France (2004)
- Ulm, Germany (2006)
- Montreal, Canada (2008)
- Warsaw, Poland (2010)
- Sydney, Australia (2012)
- KU Leuven, Belgium (2014)
- Stanford, CA USA (2016)
- Rennes, France (2018)
The site for MCQMC 2018
will be was announced at MCQMC 2016.
If you are interested in hosting a future MCQMC at your institution, such as MCQMC 2020,
then please contact any member of the steering committee.