Fr. 299.00

Classical Mechanics - A Computational Approach With Examples Using Mathematica and Python

English · Hardback

Will be released 08.08.2025

Description

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This book provides an introduction to classical mechanics with a focus on computational methods by providing clear coverage of key topics and includes integrated instructions and treat and ents of computation. The second edition include two new appendices instructing the reader in both the Python and Mathematica languages.


List of contents










1. Foundations of Motion and Computation. Single-Particle Motion in One Dimesnison. 3. Motion in Two and Three Dimensions. 4. Momentum, Angular Momentum, and Multi-Particle Systems. 5. Energy. 6. Harmonic Oscillations. 7. The Calculus of Variations. 8. Lagrangian and Hamiltonian Dynamics. 9. Central Forces and Planetry Motions. 10. Motion in Non-Inertial Reference Frames. 11. Rigid Body Motion. 12. Coupled Oscillations. 13. Nonlinear Systems


About the author










Christopher W. Kulp received his PhD in Physics from the College of William and Mary in 2004 and is currently a Professor of Physics at Lycoming College, where he teaches physics at all levels. Dr. Kulp's research interests focus on the fields of nonlinear dynamics and complex systems. He has published more than 20 publications in peer-reviewed journals and conference proceedings and has written two book chapters. More than 10 of his publications have undergraduate co-authors. Much of his work focuses on distinguishing between chaotic and stochastic behaviour in time series data. His current research interests focus on using machine learning to analyse time series and model complex systems.
Vasilis Pagonis is Professor of Physics Emeritus at McDaniel College, Maryland, where he taught undergraduate courses and did research for 36 years. He is currently a Senior Associate Editor of the international journal "Radiation Measurements". His research areas of interest is luminescence dosimetry, and applications of thermally and optically stimulated luminescence (TL and OSL). He has taught courses in classical and quantum mechanics, analog and digital electronics and mathematical physics, as well as numerous general science courses. Dr. Pagonis' resume lists more than 200 peer-reviewed publications in international journals. He is the co-author with Dr Kulp of the textbook "Mathematical methods using Python" (CRC, 2024). He has also co-authored five graduate level books in the field of luminescence dosimetry.


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