Classical Mechanics: A Computational Approach with Examples Using Mathematica and Python

Classical Mechanics: A Computational Approach with Examples using Python and Mathematica is a textbook that provides a unique and contemporary introduction to classical mechanics, focusing on computational methods. It includes integrated instructions and treatments of computation, with analytical and computational example problems within each chapter. 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 the book can be used by students to solve problems in other fields within and outside of physics. It is an ideal textbook for undergraduate students in physics, mathematics, and engineering studying classical mechanics.

Format: Paperback / softback
Length: 440 pages
Publication date: 17 November 2020
Publisher: Taylor & Francis Ltd

Classical Mechanics: A Computational Approach with Examples using Python and Mathematica is a comprehensive and modern introduction to classical mechanics, emphasizing computational methods. This textbook offers thorough coverage of key topics while providing step-by-step instructions for computational techniques. It is packed with pedagogical features, including analytical and computational example problems within each chapter, to teach readers both analytical methods and the use of computer algebra systems and computer programming for solving classical mechanics problems. End-of-chapter problems allow students to practice problem-solving skills, both with and without the aid of computers. The methods presented in this book are applicable beyond classical mechanics and can be used in other fields within and outside of physics.

Ideal for undergraduate students in physics, mathematics, and engineering, this textbook provides a solid foundation in classical mechanics and computational techniques. It features:

A clear and comprehensive overview of classical mechanics, highlighting the importance of computation in physics.
Numerous example problems using both analytical and computational methods, with detailed explanations of how and why specific techniques were employed.
Online resources containing specific example codes to assist students in learning computational methods and developing their own algorithms.
A solutions manual available through the Routledge Instructor Hub, along with additional code for support material.

By utilizing Python and Mathematica, this textbook offers a unique and effective approach to studying classical mechanics, equipping students with the skills they need to solve complex problems in physics and beyond.

Weight: 880g
Dimension: 177 x 253 x 36 (mm)
ISBN-13: 9781138495289