
Apart from an introductory chapter giving a brief summary of Newtonian and Lagrangian mechanics, this book consists entirely of questions and solutions on topics in classical mechanics that will be encountered in undergraduate and graduate courses. These include one-, two-, and three- dimensional motion; linear and nonlinear oscillations; energy, potentials, momentum, and angular momentum; spherically symmetric potentials; multi-particle systems; rigid bodies; translation and rotation of the reference frame; the relativity principle and some of its consequences. The solutions are followed by a set of comments intended to stimulate inductive reasoning and provide additional information of interest. Both analytical and numerical (computer) techniques are used to obtain and analyze solutions. The computer calculations use Mathematica (version 7), and the relevant code is given in the text. It includes use of the interactive Manipulate function which enables one to observe simulated motion on a computer screen, and to study the effects of changing parameters. The book will be useful to students and lecturers in undergraduate and graduate courses on classical mechanics, and students and lecturers in courses in computational physics.
This book investigates the application of analytical and numerical methods to solve a comprehensive range of problems in classical mechanics. The authors, J. Pierrus and O. L. de Lange, utilize their expertise in physics education to provide a structured resource for undergraduate and graduate students. By combining traditional mathematical derivations with modern computational techniques, the text aims to bridge the gap between theoretical understanding and practical simulation.
What You Will Find
Scope Limits
Experts and educators recognize this work as a practical resource for students seeking to master both the analytical and computational aspects of classical mechanics. Readers frequently note that the inclusion of interactive code and detailed commentary provides a deeper level of insight than standard problem sets.
Page Count:
608
Publication Date:
2010-01-01
Publisher:
OUP Oxford
ISBN-10:
0191582867
ISBN-13:
9780191582868
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