Classical Mechanics - A Computational Approach with Examples Using Mathematica and Python (Paperback)

Classical Mechanics: A Computational Approach with Examples using Python and Mathematica provides a unique, contemporary introduction to classical mechanics, with a focus on computational methods. In addition to providing clear and thorough coverage of key topics, this textbook includes integrated instructions and treatments of computation. Full of pedagogy, it contains both analytical and computational example problems within the body of each chapter. The example problems teach readers both analytical methods and how to use computer algebra systems and computer programming to solve problems in classical mechanics. End-of-chapter problems allow students to hone their skills in problem solving with and without the use of a computer. The methods presented in this book can then be used by students when solving problems in other fields both within and outside of physics. It is an ideal textbook for undergraduate students in physics, mathematics, and engineering studying classical mechanics. Features: Gives readers the "big picture" of classical mechanics and the importance of computation in the solution of problems in physics Numerous example problems using both analytical and computational methods, as well as explanations as to how and why specific techniques were used Online resources containing specific example codes to help students learn computational methods and write their own algorithms A solutions manual is available via the Routledge Instructor Hub and extra code is available via the Support Material tab

General

Imprint:	Crc Press
Country of origin:	United Kingdom
Release date:	November 2020
First published:	2021
Authors:	Christopher W Kulp • Vasilis Pagonis
Dimensions:	254 x 178 x 36mm (L x W x T)
Format:	Paperback
Pages:	440
ISBN-13:	978-1-138-49528-9
Categories:	Books > Science & Mathematics > Mathematics > Applied mathematics > General Books > Science & Mathematics > Physics > States of matter > Plasma physics Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > General
LSN:	1-138-49528-X
Barcode:	9781138495289

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