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Herausgeber: 
  • Sidney Yip
  • Tomas Diaz Rubia
  • Scientific Modeling and Simulations 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  März 2009  
    Genre:  Naturwissensch., Medizin, Technik 
     
    Applied mathematics / B / Chemistry, Physical and theoretical / Computational Science and Engineering / Computer mathematics / Computer modelling & simulation / computer science / Computer simulation
    ISBN:  9781402097409 
    EAN-Code: 
    9781402097409 
    Verlag:  Springer EN 
    Einband:  Gebunden  
    Sprache:  English  
    Serie:  #68 - Lecture Notes in Computational Science and Engineering  
    Dimensionen:  H 235 mm / B 155 mm / D 35 mm 
    Gewicht:  850 gr 
    Seiten:  402 
    Illustration:  VI, 402 p. 
    Zus. Info:  EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025. 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    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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