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Herausgeber: 
  • Andreas Deutsch
  • Odo Diekmann
  • Peter Jagers
  • Rafael Bravo de la Parra
  • Rob J. de Boer
  • Eva Kisdi
  • Mirjam Kretzschmar
  • Hans Metz
  • Petr Lansky
  • Mathematical Modeling of Biological Systems, Volume II: Epidemiology, Evolution and Ecology, Immunology, Neural Systems and the Brain, and Innovative  
     

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


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  November 2007  
    Genre:  Schulbücher 
     
    Applications of Mathematics / Applied mathematics / B / bioinformatics / Biomathematics / Computational and Systems Biology / Computational Biology/Bioinformatics / Engineering mathematics / Epidemiology / Epidemiology & medical statistics / Immunology / Information technology# general issues / Life sciences# general issues / Mathematical and Computational Biology / Mathematical Modeling and Industrial Mathematics / Mathematical modelling / Mathematical models / Mathematics and Statistics / Maths for engineers
    ISBN:  9780817645557 
    EAN-Code: 
    9780817645557 
    Verlag:  Springer Nature EN 
    Einband:  Gebunden  
    Sprache:  English  
    Dimensionen:  H 234 mm / B 156 mm / D 26 mm 
    Gewicht:  1650 gr 
    Seiten:  386 
    Illustration:  XVIII, 386 p. 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    This edited volume contains a selection of chapters that are an outgrowth of the - ropean Conference on Mathematical and Theoretical Biology (ECMTB05, Dresden, Germany, July 2005). The peer-reviewed contributions show that mathematical and computational approaches are absolutely essential to solving central problems in the life sciences, ranging from the organizational level of individual cells to the dynamics of whole populations. The contributions indicate that theoretical and mathematical biology is a diverse and interdisciplinary ?eld, ranging from experimental research linked to mathema- cal modelling to the development of more abstract mathematical frameworks in which observations about the real world can be interpreted and with which new hypotheses for testing can be generated. Today, much attention is also paid to the development of ef?cient algorithms for complex computations and visualization, notably in molecular biology and genetics. The ?eld of theoretical and mathematical biology and medicine has profound connections to many current problems of great relevance to society. The medical, industrial, and social interests in its development are in fact undisputable. Insights and predictions from mathematical modelling are used increasingly in de- sion support in medicine (e.g., immunology and spread of infectious diseases, cancer research, cardiovascular research, neurological research, optimization of medical tre- ments,imaging),environmentalandnaturemanagement,climateproblems,agriculture and management of natural resources. Fast developments in areas such as biotechn- ogy (e.g., genome projects, genetic modi?cation, tissue engineering) continue to add new focal points of activity to the ?eld. The contributions of this volume capture some of thesedevelopments.
      
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     Mathematical Modeling of Biological Systems, Volum - (Buch)
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