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Autor(en): 
  • Simon sirca
  • Martin Horvat
  • Computational Methods for Physicists: Compendium for Students 
     

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


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  Dezember 2012  
    Genre:  Naturwissensch., Medizin, Technik 
     
    Applied mathematics / B / Chemistry, Physical and theoretical / Computational Mathematics and Numerical Analysis / Computational Science and Engineering / Computer mathematics / Engineering mathematics / Mathematical and Computational Engineering / Mathematical and Computational Engineering Applications / Maths for engineers / Maths for scientists / Numerical analysis / Numerical and Computational Physics, Simulation / Physics / Physics and Astronomy / Quantum & theoretical chemistry / Theoretical and Computational Chemistry / Theoretical Chemistry / Theoretical, Mathematical and Computational Physics
    ISBN:  9783642324772 
    EAN-Code: 
    9783642324772 
    Verlag:  Springer Nature EN 
    Einband:  Gebunden  
    Sprache:  English  
    Dimensionen:  H 235 mm / B 155 mm / D 45 mm 
    Gewicht:  1262 gr 
    Seiten:  716 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    This book helps advanced undergraduate, graduate and postdoctoral students in their daily work by offering them a compendium of numerical methods. The choice of methods pays  significant attention to error estimates, stability and convergence issues as well as to the ways to optimize program execution speeds. Many examples are given throughout the chapters, and each chapter is followed by at least a handful of more comprehensive problems which may be dealt with, for example, on a weekly basis in a one- or two-semester course. In these end-of-chapter problems the physics background is pronounced, and the main text preceding them is intended as an introduction or as a later reference. Less stress is given to the explanation of individual algorithms. It is tried to induce in the reader an own independent thinking and a certain amount of scepticism and scrutiny instead of blindly following readily available commercial tools.
      



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