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Autor(en): 
  • Anders Malthe-Sørenssen
  • Elementary Electromagnetism 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:  Juli 2026  
    Genre:  Naturwissensch., Medizin, Technik 
     
    Analytical Methods in Physics / Classical Electrodynamics / Computational Methods in Physics / Electromagnetics Textbook / Electromagnetics Undergraduate Texbook / electromagnetism / Elektrizität, Magnetismus und Elektromagnetismus / Elementary Electromagnetics
    ISBN:  9783032198754 
    EAN-Code: 
    9783032198754 
    Verlag:  Springer International Publishing 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 235 mm / B 155 mm / D  
    Seiten:  544 
    Illustration:  XXI, 523 p. 317 illus., 169 illus. in color., farbige Illustrationen, schwarz-weiss 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 textbook presents the core elements of an introductory electromagnetism course, integrating computational methods throughout the explanations, examples, and exercises. This approach helps students develop stronger problem?solving skills, enabling them to tackle complex and realistic physics problems earlier than would be possible using only analytical techniques. It promotes creativity, encourages exploration, and equips students with the tools to become active investigators while learning physics.

    The book's philosophy is to provide worked examples that demonstrate the full workflow of solving physics problems, from modeling a system and simplifying it to an analytically solvable form to solving the complete model using computational methods. Each theoretical and computational step is clearly explained. Key computational techniques include numerical line, surface, and volume integrals; solutions to Laplace's and Poisson's equations; and computational analyses of simple and complex circuits. Laplace's and Poisson's equations receive particular emphasis, as the computational tools developed allow students to study complex systems in depth. By applying similar computational methods across different topics, students can identify connections within the theory and build confidence and proficiency.

    The book offers clear explanations of both analytical and computational techniques and includes a wide range of exercises: discussion questions, skill?building tutorials, advanced homework problems, and extended projects that combine analytical and computational approaches in rich, contextual settings.

      



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