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Autor(en): 
  • Peter Deuflhard
  • Susanna Röblitz
  • A Guide to Numerical Modelling in Systems Biology 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 2 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 5-10 Tagen versandfertig
    Veröffentlichung:  Oktober 2016  
    Genre:  Schulbücher 
     
    Analysis / Applications of Mathematics / Applied mathematics / B / Biomathematics / Computer modelling & simulation / computer science / Computer simulation / Differential equations / Engineering mathematics / Mathematical and Computational Biology / Mathematical physics / Mathematics and Statistics / Maths for scientists / Numerical and Computational Physics, Simulation / Ordinary Differential Equations / Physics / Simulation and Modeling / Theoretical, Mathematical and Computational Physics
    ISBN:  9783319368825 
    EAN-Code: 
    9783319368825 
    Verlag:  Springer International Publishing 
    Einband:  Kartoniert  
    Sprache:  English  
    Serie:  #12 - Texts in Computational Science and Engineering  
    Dimensionen:  H 235 mm / B 155 mm / D 11 mm 
    Gewicht:  295 gr 
    Seiten:  188 
    Zus. Info:  Paperback 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    This book is intended for students of computational systems biology with only a limited background in mathematics. Typical books on systems biology merely mention algorithmic approaches, but without offering a deeper understanding. On the other hand, mathematical books are typically unreadable for computational biologists. The authors of the present book have worked hard to fill this gap. The result is not a book on systems biology, but on computational methods in systems biology. This book originated from courses taught by the authors at Freie Universität Berlin. The guiding idea of the courses was to convey those mathematical insights that are indispensable for systems biology, teaching the necessary mathematical prerequisites by means of many illustrative examples and without any theorems. The three chapters cover the mathematical modelling of biochemical and physiological processes, numerical simulation of the dynamics of biological networks and identification of model parameters by means of comparisons with real data. Throughout the text, the strengths and weaknesses of numerical algorithms with respect to various systems biological issues are discussed. Web addresses for downloading the corresponding software are also included.

      
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