Kniha Elementary Electromagnetism Using Python Anders Malthe-Sørenssen

Elementary Electromagnetism Using Python

A Modern Course Combining Analytical and Numerical Techniques. DE

Jazyk: Angličtina
Vazba: Brožovaná
Vydavatel: Springer, Berlin
Dostupnost: Očekávaná novinka
Vydání 05. 07. 2026
1 749
This textbook presents the core elements of an introductory electromagnetism course, integrating com...

Informace o knize

Jazyk
Angličtina
Vazba
Kniha - Brožovaná
Vydáno
2026
Stránek
530
EAN
9783032198754
Enbook ID
50793154
Vydavatel
Rozměry
155 x 235

Kompletní popis

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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