Monte Carlo methods for applied scientists /:
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 wi...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hackensack, N.J. :
World Scientific,
©2008.
|
| Schlagworte: | |
| Online-Zugang: | DE-862 DE-863 |
| Zusammenfassung: | 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. |
| Beschreibung: | 1 online resource (xv, 291 pages) : illustrations |
| Bibliographie: | Includes bibliographical references (pages 275-284) and indexes. |
| ISBN: | 9789812779892 9812779892 |
Internformat
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| 505 | 0 | |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. | |
| 520 | |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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| author | Dimov, Ivan, 1963- |
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| contents | 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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| dewey-tens | 510 - Mathematics |
| discipline | Mathematik |
| format | Electronic eBook |
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| id | ZDB-4-EBA-ocn261346778 |
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| indexdate | 2025-04-11T08:36:13Z |
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| isbn | 9789812779892 9812779892 |
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| spelling | Dimov, Ivan, 1963- https://id.oclc.org/worldcat/entity/E39PBJqBtQp9JgmThkWjpQW4bd http://id.loc.gov/authorities/names/n90715987 Monte Carlo methods for applied scientists / Ivan T. Dimov. Hackensack, N.J. : World Scientific, ©2008. 1 online resource (xv, 291 pages) : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier Includes bibliographical references (pages 275-284) and indexes. Print version record. 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. 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. Monte Carlo method. http://id.loc.gov/authorities/subjects/sh85087032 Méthode de Monte-Carlo. MATHEMATICS Numerical Analysis. bisacsh Monte Carlo method fast has work: Monte Carlo methods for applied scientists (Text) https://id.oclc.org/worldcat/entity/E39PCGCTg4QWFX3Xrcj4KcpvRC https://id.oclc.org/worldcat/ontology/hasWork Print version: Dimov, Ivan T. Monte Carlo methods for applied scientists. Hackensack, N.J. : World Scientific, ©2008 9789810223298 9810223293 (DLC) 2008273180 (OCoLC)221143525 |
| spellingShingle | Dimov, Ivan, 1963- Monte Carlo methods for applied scientists / 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. Monte Carlo method. http://id.loc.gov/authorities/subjects/sh85087032 Méthode de Monte-Carlo. MATHEMATICS Numerical Analysis. bisacsh Monte Carlo method fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh85087032 |
| title | Monte Carlo methods for applied scientists / |
| title_auth | Monte Carlo methods for applied scientists / |
| title_exact_search | Monte Carlo methods for applied scientists / |
| title_full | Monte Carlo methods for applied scientists / Ivan T. Dimov. |
| title_fullStr | Monte Carlo methods for applied scientists / Ivan T. Dimov. |
| title_full_unstemmed | Monte Carlo methods for applied scientists / Ivan T. Dimov. |
| title_short | Monte Carlo methods for applied scientists / |
| title_sort | monte carlo methods for applied scientists |
| topic | Monte Carlo method. http://id.loc.gov/authorities/subjects/sh85087032 Méthode de Monte-Carlo. MATHEMATICS Numerical Analysis. bisacsh Monte Carlo method fast |
| topic_facet | Monte Carlo method. Méthode de Monte-Carlo. MATHEMATICS Numerical Analysis. Monte Carlo method |
| work_keys_str_mv | AT dimovivan montecarlomethodsforappliedscientists |