The MCQMC Conference is a biennial meeting devoted to the study of Monte Carlo (MC) and quasi-Monte Carlo (QMC) methods, the relationships between the two classes of methods, and their effective application in different areas. 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. 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.
The conference was initiated by Harald Niederreiter, who co-chaired the first seven conferences in
MC and QMC methods
Five days of conference with 10 invited one-hour plenary talks, and several 30-minute talks organized in sessions of 3 or 4 talks, including some special thematic sessions, with at most three parallel sessions at a time.
There is a long standing tradition that a selection of strictly refereed papers are published after the conference as a Springer-Verlag book.
|© 2011-2021 Frances Y. Kuo, MCQMC 2012|