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Autor(en): 
  • Anders Malthe-Sørenssen
  • Elementary Mechanics Using Python: A Modern Course Combining Analytical and Numerical Techniques 
     

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


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 7-14 Tagen versandfertig
    Veröffentlichung:  Oktober 2016  
    Genre:  Naturwissensch., Medizin, Technik 
     
    B / Classical mechanics / Mathematical Methods in Physics / Mathematical physics / Mathematische Physik / Mechanics / Numerical and Computational Physics, Simulation / Physics
    ISBN:  9783319386843 
    EAN-Code: 
    9783319386843 
    Verlag:  Springer EN 
    Einband:  Kartoniert  
    Sprache:  English  
    Serie:  Undergraduate Lecture Notes in Physics  
    Dimensionen:  H 235 mm / B 155 mm / D  
    Gewicht:  9007 gr 
    Seiten:  590 
    Illustration:  XIII, 590 p. 256 illus., 180 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen 
    Zus. Info:  EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025. 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    This book - specifically developed as a novel textbook on elementary classical mechanics - shows how analytical and numerical methods can be seamlessly integrated to solve physics problems. This approach allows students to solve more advanced and applied problems at an earlier stage and equips them to deal with real-world examples well beyond the typical special cases treated in standard textbooks.

    Another advantage of this approach is that students are brought closer to the way physics is actually discovered and applied, as they are introduced right from the start to a more exploratory way of understanding phenomena and of developing their physical concepts.

    While not a requirement, it is advantageous for the reader to have some prior knowledge of scientific programming with a scripting-type language. This edition of the book uses Python, and a chapter devoted to the basics of scientific programming with Python is included. A parallel edition using Matlab instead of Python is also available.

    Last but not least, each chapter is accompanied by an extensive set of course-tested exercises and solutions.

      
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