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|a Dimov, Ivan,
|d 1963-
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|a Monte Carlo methods for applied scientists /
|c Ivan T. Dimov.
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|a Hackensack, N.J. :
|b World Scientific,
|c ©2008.
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|a 1 online resource (xv, 291 pages) :
|b illustrations
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|a text
|b txt
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|a Includes bibliographical references (pages 275-284) and indexes.
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|a Print version record.
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|a 1. Introduction -- 2. Basic results of Monte Carlo integration -- 3. Optimal Monte Carlo method for multidimensional integrals of smooth functions -- 4. Iterative Monte Carlo methods for linear equations -- 5. Markov Chain Monte Carlo methods for Eigenvalue Problems -- 6. Monte Carlo methods for Boundary-Value Problems (BVP) -- 7. Superconvergent Monte Carlo for density function simulation by B-Splines -- 8. Solving non-linear equations -- 9. Algorithmic efficiency for different computer models -- 10. Applications for transport modeling in semiconductors and nanowires.
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|a The Monte Carlo method is inherently parallel and the extensive and rapid development in parallel computers, computational clusters and grids has resulted in renewed and increasing interest in this method. At the same time there has been an expansion in the application areas and the method is now widely used in many important areas of science including nuclear and semiconductor physics, statistical mechanics and heat and mass transfer. This book attempts to bridge the gap between theory and practice concentrating on modern algorithmic implementation on parallel architecture machines. Althoug.
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|b EBSCO eBook Subscription Academic Collection - Worldwide
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|a Monte Carlo method.
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|a Méthode de Monte-Carlo.
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|a MATHEMATICS
|x Numerical Analysis.
|2 bisacsh
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|a Monte Carlo method.
|2 fast
|0 (OCoLC)fst01025819
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|i Print version:
|a Dimov, Ivan T.
|t Monte Carlo methods for applied scientists.
|d Hackensack, N.J. : World Scientific, ©2008
|z 9789810223298
|z 9810223293
|w (DLC) 2008273180
|w (OCoLC)221143525
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