Numerical Methods in Physics with Python (Hardcover, 2nd Revised edition)

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. The second edition of this introductory book features several new codes and 140 new problems (many on physics applications), as well as new sections on the singular-value decomposition, derivative-free optimization, Bayesian linear regression, neural networks, and partial differential equations. The last section in each chapter is an in-depth project, tackling physics problems that 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.

General

Imprint:	Cambridge UniversityPress
Country of origin:	United Kingdom
Release date:	April 2023
Authors:	Alex Gezerlis
Format:	Hardcover
Pages:	700
Edition:	2nd Revised edition
ISBN-13:	978-1-00-930385-9
Categories:	Books > Computing & IT > General theory of computing > General Books > Computing & IT > Applications of computing > General Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematical modelling Books > Computing & IT > Computer programming > Programming languages > General Promotions
LSN:	1-00-930385-6
Barcode:	9781009303859

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