Computational Geometric Algebra for Physicists With Python

Computational Geometric Algebra for Physicists With Python

DiJamie Flux

Di solito viene stampato in 3-5 giorni lavorativi
*Computational Geometric Algebra for Physicists With Python* is a hands-on guide that bridges theoretical geometry and practical coding. It equips physicists with the mathematical framework of **Geometric Algebra** and provides practical Python implementations for solving complex problems in quantum mechanics, classical physics, and relativity. The book is designed to bridge the gap between abstract mathematical theory and practical numerical implementation. It teaches readers how to use **Geometric Algebra (GA)** to handle complex rotations, bivectors, and multivectors across arbitrary dimensions. It also replaces or supplements traditional mathematical tools such as matrices and quaternions with GA’s more intuitive and geometrically expressive language. ## Key Features and Topics Covered - **Hands-on Python Coding:** Integrates practical Python scripts to bring abstract algebraic concepts to life, allowing readers to compute and visualize results directly. - **Core Geometric Algebra:** Offers a self-contained introduction to the fundamental properties of multivectors, inner products, outer products, and the geometric product. - **Advanced Physical Applications:** Extends beyond basic vectors into areas such as non-Euclidean geometry, Lie groups, quantum entanglement, and relativistic physics. ## Who Is It For? This resource is ideal for physicists, students, and researchers looking to modernize their analytical toolkit. It is tailored for individuals who want to move beyond traditional Gibbs-Heaviside vectors or complex tensor notation and apply modern geometric computing to their work.

Dettagli

Data di pubblicazione
Jun 26, 2025
Lingua
English
Categoria
Ingegneria
Copyright
Tutti i diritti riservati - Licenza di copyright standard
Collaboratori
Di (autore): Jamie Flux

Specifiche

Pagine
462
Tipo di rilegatura
Libro a copertina morbida Libro a copertina morbida
Colore del contenuto
Bianco e nero
Dimensioni
US Trade (152 x 229 mm)

Recensioni e Valutazioni