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[null,"1.","Record Nr.",null,"UNINA9910779727503321"]
[null,null,"Titolo",null,"Monte Carlo methods and applications [[electronic resource] ] : proceedings of the 8th IMACS Seminar on Monte Carlo Methods, August 29-September 2, 2011, Borovets, Bulgaria / / edited by Karl K. Sabelfeld, Ivan Dimov"]
[null,null,"Pubbl/distr/stampa",null,"Berlin, : De Gruyter, 2013"]
[null,null,"ISBN",null,"3-11-029358-7"]
[null,null,"Descrizione fisica",null,"1 online resource (248 p.)"]
[null,null,"Collana",null,"De Gruyter proceedings in mathematics"]
[null,null,"Disciplina",null,"518/.282"]
[null,null,"Soggetti",null,"Monte Carlo method"]
[{"$nulls":4},"Mathematics"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references."]
[null,null,"Nota di contenuto",null,"Frontmatter -- Preface -- Contents -- Chapter 1. Improvement of Multi-population Genetic Algorithms Convergence Time / Angelova, Maria / Pencheva, Tania -- Chapter 2 Parallelization and Optimization of 4D Binary Mixture Monte Carlo Simulations Using Open MPI and CUDA / Artemchuk, Sergey / Whitlock, Paula A. -- Chapter 3 Efficient Implementation of the Heston Model Using GPGPU / Atanassov, Emanouil / Dimitrov, Dimitar / Ivanovska, Sofiya -- Chapter 4. On a Game-Method for Modeling with Intuitionistic Fuzzy Estimations. Part 2 / Atanassova, Lilija / Atanassov, Krassimir -- Chapter 5. Generalized Nets, ACO Algorithms, and Genetic Algorithms / Atanassova, Vassia / Fidanova, Stefka / Popchev, Ivan / Chountas, Panagiotis -- Chapter 6. Bias Evaluation and Reduction for Sample-Path Optimization / / Bastin, Fabian -- Chapter 7. Monte Carlo Simulation of Electron Transport in Quantum Cascade Lasers / Baumgartner, Oskar / Stanojević, Zlatan / Kosina, Hans -- Chapter 8. Markov Chain Monte Carlo Particle Algorithms for Discrete-Time Nonlinear Filtering / Carmi, Avishy / Mihaylova, Lyudmila -- Chapter 9. Game-Method for Modeling and WRF-Fire Model Working Together / Dobrinkova, Nina / Fidanova, Stefka / Dimov, Ivan / Atanassov, Krassimir / Mandel, Jan -- Chapter 10. Wireless Sensor Network Layout / Fidanova, Stefka / Marinov, Pencho / Alba, Enrique -- Chapter 11. A Two-Dimensional Lorentzian Distribution for an Atomic Force Microscopy Simulator / Filipovic, Lado / Selberherr, Siegfried -- Chapter 12. Stratified Monte Carlo Integration / Haddad, Rami El / Fakhreddine, Rana / Lécot, Christian -- Chapter "]
[{"$nulls":4},"13. Monte Carlo Simulation of Asymmetric Flow Field Flow Fractionation / Iliev, Oleg / Nagapetyan, Tigran / Ritter, Klaus -- Chapter 14. Convexization in Markov Chain Monte Carlo / Kanevsky, Dimitri / Carmi, Avishy -- Chapter 15. Value Simulation of the Interacting Pair Number for Solution of the Monodisperse Coagulation Equation / Korotchenko, Mariya / Burmistrov, Aleksandr -- Chapter 16. Parallelization of Algorithms for Solving a Three-Dimensional Sudoku Puzzle / Mayorov, Mikhail / Whitlock, Paula A. -- Chapter 17. The Efficiency Study of Splitting and Branching in the Monte Carlo Method / Medvedev, Ilya N. -- Chapter 18. On the Asymptotics of a Lower Bound for the Diaphony of Generalized van der Corput Sequences / Pausinger, Florian / Schmid, Wolfgang Ch. -- Chapter 19. Group Object Tracking with a Sequential Monte Carlo Method Based on a Parameterized Likelihood Function / Petrov, Nikolay / Mihaylova, Lyudmila / Gning, Amadou / Angelova, Donka -- Chapter 20. The Template Design Problem: A Perspective with Metaheuristics / Rueda, David Rodríguez / Cotta, Carlos / Fernández-Leiva, Antonio J. -- Chapter 21. A Comparison of Simulated Annealing and Genetic Algorithm Approaches for Cultivation Model Identification / Roeva, Olympia -- Chapter 22. Monte Carlo Investigations of Electron Decoherence due to Phonons / Schwaha, Philipp / Nedjalkov, Mihail / Selberherr, Siegfried / Dimov, Ivan -- Chapter 23. Geometric Allocation Approach for the Transition Kernel of a Markov Chain / Suwa, Hidemaro / Todo, Synge -- Chapter 24. Exact Sampling for the Ising Model at All Temperatures / Ullrich, Mario"]
[null,null,null,"Sommario/riassunto","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"]
[null,"2.","Record Nr.",null,"UNINA9910778468003321"]
[null,null,"Autore",null,"Kraus Johannes"]
[null,null,"Titolo",null,"Robust algebraic multilevel methods and algorithms [[electronic resource] /] / Johannes Kraus, Svetozar Margenov"]
[null,null,"Pubbl/distr/stampa",null,"Berlin ; ; New York, : Walter De Gruyter, c2009"]
[null,null,"ISBN",null,"1-282-37263-7"]
[{"$nulls":4},"9786612372636"]
[{"$nulls":4},"3-11-021483-0"]
[null,null,"Descrizione fisica",null,"1 online resource (256 p.)"]
[null,null,"Collana",null,"Radon series on computational and applied mathematics ; ; 5"]
[null,null,"Classificazione",null,"SK 540"]
[null,null,"Disciplina",null,"515.35"]
[null,null,"Soggetti",null,"Algebras, Linear - Data processing"]
[{"$nulls":4},"Mathematical analysis"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references (p. [237]-244) and index."]
[null,null,"Nota di contenuto",null,"Frontmatter -- Contents -- 1. Introduction -- 2. Algebraic multilevel iteration methods -- 3. Robust AMLI algorithms: Conforming linear finite elements -- 4. Robust AMLI algorithms: Nonconforming linear finite elements -- 5. Schur complement based multilevel preconditioners -- 6. Algebraic multigrid (AMG) -- 7. Preconditioning of Rannacher-Turek nonconforming FE systems -- 8. AMLI algorithms for discontinuous Galerkin FE problems -- 9. AMLI methods for coupled problems -- 10. Practical issues -- Backmatter"]
[null,null,null,"Sommario/riassunto","This book deals with algorithms for the solution of linear systems of algebraic equations with large-scale sparse matrices, with a focus on problems that are obtained after discretization of partial differential equations using finite element methods. The authors provide a systematic presentation of the recent advances in robust algebraic multilevel methods and algorithms, e.g., the preconditioned conjugate gradient method, algebraic multilevel iteration (AMLI) preconditioners, the classical algebraic multigrid (AMG) method and its recent modifications, namely AMG using element interpolation (AMGe) and AMG based on smoothed aggregation. The first six chapters can serve as a short introductory course on the theory of AMLI methods and algorithms. The next part of the monograph is devoted to more advanced topics, including the description of new generation AMG methods, AMLI methods for discontinuous Galerkin systems, looking-free algorithms for coupled problems etc., ending with important "]
[{"$nulls":4},"practical issues of implementation and challenging applications.  This second part is addressed to some more experienced students and practitioners and can be used to complete a more advanced course on robust AMLI and AMG methods and their efficient application. This book is intended for mathematicians, engineers, natural scientists etc."]