The series is aimed specifically at publishing peer reviewed reviews and contributions presented at workshops and conferences. Each volume is associated with a particular conference, symposium or workshop. These events cover various topics within pure and applied mathematics and provide up-to-date coverage of new developments, methods and applications.
This is the proceedings of the "8th IMACS Seminar on Monte Carlo Methods" held from August 29 to September 2, 2011 in Borovets, Bulgaria, and organized by the Institute of Information and Communication Technologies of the Bulgarian Academy of Sciences in cooperation with the International Association for Mathematics and Computers in Simulation (IMACS). Included are 24 papers which cover all topics presented in the sessions of the seminar: stochastic computation and complexity of high dimensional problems, sensitivity analysis, high-performance computations for Monte Carlo applications, stochastic metaheuristics for optimization problems, sequential Monte Carlo methods for large-scale problems, semiconductor devices and nanostructures.
The history of the IMACS Seminar on Monte Carlo Methods goes back to April 1997 when the first MCM Seminar was organized in Brussels:
1st IMACS Seminar, 1997, Brussels, Belgium
2nd IMACS Seminar, 1999, Varna, Bulgaria
3rd IMACS Seminar, 2001, Salzburg, Austria
4th IMACS Seminar, 2003, Berlin, Germany
5th IMACS Seminar, 2005, Tallahassee, USA
6th IMACS Seminar, 2007, Reading, UK
7th IMACS Seminar, 2009, Brussels, Belgium
8th IMACS Seminar, 2011, Borovets, Bulgaria
Karl K. Sabelfeld, Institute of Computational Mathematics and Geophysics, Russian Acacemy of Sciences, Novosibirsk, Russia;Ivan Dimov, Institute of Information and Communication Technologies, Bulgarian Academy of Sciences, Sofia, Bulgaria.
Schlagwörter zu:
Monte Carlo Methods and Applications von Karl K. Sabelfeld - mit der ISBN: 9783110293586
BUS091000 BUSINESS & ECONOMICS / Business Mathematics; MAT003000 MATHEMATICS / Applied; MAT027000 MATHEMATICS / Research; MAT034000 MATHEMATICS / Mathematical Analysis; MAT041000 MATHEMATICS / Numerical Analysis; Financial Mathematics; Monte Carlo Method; Monte Carlo Methods; Stochastic Model, Online-Buchhandlung
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