Numerical Methods in Physics with Python

aw_product_id: 
33916520447
merchant_image_url: 
https://cdn.waterstones.com/bookjackets/large/9781/1087/9781108738934.jpg
merchant_category: 
Books
search_price: 
39.99
book_author_name: 
Alex Gezerlis
book_type: 
Paperback
publisher: 
Cambridge University Press
published_date: 
27/08/2020
isbn: 
9781108738934
Merchant Product Cat path: 
Books > Science, Technology & Medicine > Mathematics & science > Mathematics > Applied mathematics
specifications: 
Alex Gezerlis|Paperback|Cambridge University Press|27/08/2020
Merchant Product Id: 
9781108738934
Book Description: 
Bringing together idiomatic Python programming, foundational numerical methods, and physics applications, this is an ideal standalone textbook for courses on computational physics. All the frequently used numerical methods in physics are explained, including foundational techniques and hidden gems on topics such as linear algebra, differential equations, root-finding, interpolation, and integration. Accompanying the mathematical derivations are full implementations of dozens of numerical methods in Python, as well as more than 250 end-of-chapter problems. Numerical methods and physics examples are clearly separated, allowing this introductory book to be later used as a reference; the penultimate section in each chapter is an in depth project, tackling physics problems which cannot be solved without the use of a computer. Written primarily for students studying computational physics, this textbook brings the non-specialist quickly up to speed with Python before looking in detail at the numerical methods often used in the subject.

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