Description: Further DetailsTitle: Numerical Methods in Physics with PythonCondition: NewFormat: PaperbackEAN: 9781009303866ISBN: 9781009303866Publisher: Cambridge University PressRelease Date: 07/20/2023Description: 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.Language: EnglishCountry/Region of Manufacture: GBItem Weight: 1296gAuthor: Alex GezerlisGenre: Computing & InternetTopic: Science Nature & MathISBN-10: 1009303864Type: Programming LanguagesItem Length: 178mmItem Height: 255mmItem Width: 37mmRelease Year: 2023 Missing Information?Please contact us if any details are missing and where possible we will add the information to our listing.
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Publication Name: Numerical Methods in Physics with Python
Title: Numerical Methods in Physics with Python
EAN: 9781009303866
ISBN: 9781009303866
Release Date: 07/20/2023
Release Year: 2023
Country/Region of Manufacture: GB
Item Weight: 1296g
ISBN-10: 1009303864
Type: Programming Languages
Edition: 2
Book Title: Numerical Methods in Physics with Python
Number of Pages: 700 Pages
Language: English
Publisher: Cambridge University Press
Publication Year: 2023
Topic: Physics / Mathematical & Computational
Item Height: 1.5 in
Illustrator: Yes
Genre: Science
Author: Alex Gezerlis
Item Length: 10 in
Item Width: 7 in
Format: Trade Paperback
