Scientific Modeling and Simulations / edited by Sidney Yip, Tomás Diaz Rubia.
Tipo de material: TextoIdioma: Inglés Series Lecture Notes in Computational Science and Engineering ; 68Detalles de publicación: 2009Descripción: vi, 393 p. ill. 24 cmISBN:- 9781402097416
- 9781402097409
- 620.110 23
Tipo de ítem | Biblioteca actual | Signatura | Copia número | Estado | Fecha de vencimiento | Código de barras | Reserva de ítems | |
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Colección general | Biblioteca Yachay Tech | 530.1 S4169 2009 (Navegar estantería(Abre debajo)) | Ej. 1 | Disponible | 003500 | |||
Colección general | Biblioteca Yachay Tech | 530.1 S4169 2009 (Navegar estantería(Abre debajo)) | Ej. 2 | Disponible | 003501 | |||
Colección general | Biblioteca Yachay Tech | 530.1 S4169 2009 (Navegar estantería(Abre debajo)) | Ej. 3 | Disponible | 003502 |
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530.1 O984 2013 The Oxford handbook of philosophy of physics / | 530.1 O984 2013 The Oxford handbook of philosophy of physics / | 530.1 S4169 2009 Scientific Modeling and Simulations / | 530.1 S4169 2009 Scientific Modeling and Simulations / | 530.1 S4169 2009 Scientific Modeling and Simulations / | 530.1 S5487c 2013 A course in theoretical physics / | 530.1 S5487c 2013 A course in theoretical physics / |
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The conceptualization of a problem (modeling) and the computational solution of this problem (simulation), is the foundation of Computational Science. This coupled endeavor is unique in several respects. It allows practically any complex system to be analyzed with predictive capability by invoking the multiscale paradigm-linking unit-process models at lower length (or time) scales where fundamental principles have been established to calculations at the system level. The community of multiscale materials modeling has evolved into a multidisciplinary group with a number of identified problem areas of interest. Sidney Yip and Tomas Diaz De La Rubia, the editors of this volume, have gathered 18 contributions that showcase the conceptual advantages of modeling which, coupled with the unprecedented computing power through simulations, allow scientists to tackle the formibable problems of our society, such as the search for hydrocarbons, understanding the structure of a virus, or the intersection between simulations and real data in extreme environments. Scientific Modeling and Simulations advocates the scientific virtues of modeling and simulation, and also encourages the cross fertilization between communities, exploitations of high-performance computing, and experiment-simulation synergies. The contents of this book were previously published in Scientific Modeling and Simulations, Vol 15, No. 1-3, 2008.
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