TY  - BOOK
AU  - Alba,Enrique
AU  - Angelova,Donka
AU  - Angelova,Maria
AU  - Artemchuk,Sergey
AU  - Artemchuk,Sergey
AU  - Atanassov,Emanouil
AU  - Atanassov,Emanouil
AU  - Atanassov,Krassimir
AU  - Atanassov,Krassimir
AU  - Atanassova,Lilija
AU  - Atanassova,Lilija
AU  - Atanassova,Vassia
AU  - Bastin,Fabian
AU  - Bastin,Fabian
AU  - Baumgartner,Oskar
AU  - Burmistrov,Aleksandr
AU  - Burmistrov,Aleksandr
AU  - Carmi,Avishy
AU  - Chountas,Panagiotis
AU  - Cotta,Carlos
AU  - Dimitrov,Dimitar
AU  - Dimitrov,Dimitar
AU  - Dimov,Ivan
AU  - Dobrinkova,Nina
AU  - Dobrinkova,Nina
AU  - El Haddad,Rami
AU  - Fakhreddine,Rana
AU  - Fakhreddine,Rana
AU  - Fernández-Leiva,Antonio J.
AU  - Fernández-Leiva,Antonio J.
AU  - Fidanova,Stefka
AU  - Fidanova,Stefka
AU  - Filipovic,Lado
AU  - Filipovic,Lado
AU  - Gning,Amadou
AU  - Haddad,Rami El
AU  - Iliev,Oleg
AU  - Ivanovska,Sofiya
AU  - Ivanovska,Sofiya
AU  - Kanevsky,Dimitri
AU  - Kanevsky,Dimitri
AU  - Korotchenko,Mariya
AU  - Kosina,Hans
AU  - Lécot,Christian
AU  - Mandel,Jan
AU  - Mandel,Jan
AU  - Marinov,Pencho
AU  - Marinov,Pencho
AU  - Mayorov,Mikhail
AU  - Medvedev,Ilya N.
AU  - Mihaylova,Lyudmila
AU  - Nagapetyan,Tigran
AU  - Nedjalkov,Mihail
AU  - Nedjalkov,Mihail
AU  - Pausinger,Florian
AU  - Pencheva,Tania
AU  - Pencheva,Tania
AU  - Petrov,Nikolay
AU  - Popchev,Ivan
AU  - Popchev,Ivan
AU  - Ritter,Klaus
AU  - Rodríguez Rueda,David
AU  - Roeva,Olympia
AU  - Rueda,David Rodríguez
AU  - Sabelfeld,Karl K.
AU  - Schmid,Wolfgang Ch
AU  - Schwaha,Philipp
AU  - Selberherr,Siegfried
AU  - Selberherr,Siegfried
AU  - Stanojevic,Zlatan
AU  - Stanojević,Zlatan
AU  - Suwa,Hidemaro
AU  - Todo,Synge
AU  - Ullrich,Mario
AU  - Whitlock,Paula A.
TI  - Monte Carlo Methods and Applications: Proceedings of the 8th IMACS Seminar on Monte Carlo Methods, August 29 – September 2, 2011, Borovets, Bulgaria 
T2  - De Gruyter Proceedings in Mathematics
SN  - 9783110293470
AV  - QC174.85.M64 I43 2013
PY  - 2012///]
CY  - Berlin, Boston : 
PB  - De Gruyter, 
KW  - Mathematics
KW  - Congresses
KW  - Monte Carlo method
KW  - Monte Carlo Methods
KW  - MATHEMATICS / Probability & Statistics / General
KW  - bisacsh
KW  - Monte Carlo Method, Stochastic Model, Financial Mathematics
N1  - Frontmatter --; Preface --; Contents --; Chapter 1. Improvement of Multi-population Genetic Algorithms Convergence Time --; Chapter 2 Parallelization and Optimization of 4D Binary Mixture Monte Carlo Simulations Using Open MPI and CUDA --; Chapter 3 Efficient Implementation of the Heston Model Using GPGPU --; Chapter 4. On a Game-Method for Modeling with Intuitionistic Fuzzy Estimations. Part 2 --; Chapter 5. Generalized Nets, ACO Algorithms, and Genetic Algorithms --; Chapter 6. Bias Evaluation and Reduction for Sample-Path Optimization --; Chapter 7. Monte Carlo Simulation of Electron Transport in Quantum Cascade Lasers --; Chapter 8. Markov Chain Monte Carlo Particle Algorithms for Discrete-Time Nonlinear Filtering --; Chapter 9. Game-Method for Modeling and WRF-Fire Model Working Together --; Chapter 10. Wireless Sensor Network Layout --; Chapter 11. A Two-Dimensional Lorentzian Distribution for an Atomic Force Microscopy Simulator --; Chapter 12. Stratified Monte Carlo Integration --; Chapter 13. Monte Carlo Simulation of Asymmetric Flow Field Flow Fractionation --; Chapter 14. Convexization in Markov Chain Monte Carlo --; Chapter 15. Value Simulation of the Interacting Pair Number for Solution of the Monodisperse Coagulation Equation --; Chapter 16. Parallelization of Algorithms for Solving a Three-Dimensional Sudoku Puzzle --; Chapter 17. The Efficiency Study of Splitting and Branching in the Monte Carlo Method --; Chapter 18. On the Asymptotics of a Lower Bound for the Diaphony of Generalized van der Corput Sequences --; Chapter 19. Group Object Tracking with a Sequential Monte Carlo Method Based on a Parameterized Likelihood Function --; Chapter 20. The Template Design Problem: A Perspective with Metaheuristics --; Chapter 21. A Comparison of Simulated Annealing and Genetic Algorithm Approaches for Cultivation Model Identification --; Chapter 22. Monte Carlo Investigations of Electron Decoherence due to Phonons --; Chapter 23. Geometric Allocation Approach for the Transition Kernel of a Markov Chain --; Chapter 24. Exact Sampling for the Ising Model at All Temperatures; restricted access
N2  - 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, Belgium2nd IMACS Seminar, 1999, Varna, Bulgaria 3rd IMACS Seminar, 2001, Salzburg, Austria 4th IMACS Seminar, 2003, Berlin, Germany 5th IMACS Seminar, 2005, Tallahassee, USA6th IMACS Seminar, 2007, Reading, UK7th IMACS Seminar, 2009, Brussels, Belgium8th IMACS Seminar, 2011, Borovets, Bulgaria
UR  - https://doi.org/10.1515/9783110293586
UR  - https://www.degruyter.com/isbn/9783110293586
UR  - https://www.degruyter.com/document/cover/isbn/9783110293586/original
ER  -