Christopher W. Kulp, Vasilis Pagonis
Classical Mechanics (eBook, PDF)
A Computational Approach with Examples Using Mathematica and Python
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Christopher W. Kulp, Vasilis Pagonis
Classical Mechanics (eBook, PDF)
A Computational Approach with Examples Using Mathematica and Python
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Classical Mechanics: a Computational Approach provides a contemporary introduction to classical mechanics. As well as providing clear and thorough coverage of key topics, this book includes integrated treatment of computation.
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Classical Mechanics: a Computational Approach provides a contemporary introduction to classical mechanics. As well as providing clear and thorough coverage of key topics, this book includes integrated treatment of computation.
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Produktdetails
- Produktdetails
- Verlag: Taylor & Francis
- Seitenzahl: 456
- Erscheinungstermin: 16. November 2020
- Englisch
- ISBN-13: 9781351024372
- Artikelnr.: 60135015
- Verlag: Taylor & Francis
- Seitenzahl: 456
- Erscheinungstermin: 16. November 2020
- Englisch
- ISBN-13: 9781351024372
- Artikelnr.: 60135015
Dr. 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. Chris has a life-long passion for teaching and, in addition to teaching at several colleges and universities, he has also taught martial arts, high school science, science seminars for K-12 teachers, and a summer kindergarten math program.
Dr. Kulp's research interests focus on the fields of nonlinear dynamics, nonlinear time series analysis, 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 behavior in time series data. He maintains an active undergraduate research group at Lycoming College, having mentored nearly 50 undergraduate students during his career so far. His current research interests focus on using machine learning to analyze time series and model complex systems.
When he is not writing code to solve physics problems, Dr. Kulp can be found reading, playing guitar, and writing music.
Dr Vasilis Pagonis is Professor of Physics Emeritus at McDaniel College, Maryland, where he taught undergraduate courses and did research for 36 years. He frequently collaborates with researchers around the world and with his students in his areas of interest, including solid state physics, and specifically in thermally and optically stimulated luminescence (TL and OSL). This is an area of research with applications in archaeological and geological dating, and also in the field of radiation dosimetry. 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 140 peer-reviewed publications in international journals. He has been the recipient of several grants, including awards from the Council on Undergraduate Research and National Science Foundation. He is also the inaugural recipient of the John Desmond Kopp Professorship in the Sciences at McDaniel College.
He is the co-author of three books in the field of luminescence dosimetry, "Practical and Numerical Exercises in Thermoluminescence," published by Springer in 2006, "Thermally and Optically Stimulated Luminescence: A Simulation Approach," published by Wiley in 2011, and "Advances in Physics and Applications of Optically and Thermally Stimulated Luminescence" published by World Scientific in 2019.
Dr. Kulp's research interests focus on the fields of nonlinear dynamics, nonlinear time series analysis, 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 behavior in time series data. He maintains an active undergraduate research group at Lycoming College, having mentored nearly 50 undergraduate students during his career so far. His current research interests focus on using machine learning to analyze time series and model complex systems.
When he is not writing code to solve physics problems, Dr. Kulp can be found reading, playing guitar, and writing music.
Dr Vasilis Pagonis is Professor of Physics Emeritus at McDaniel College, Maryland, where he taught undergraduate courses and did research for 36 years. He frequently collaborates with researchers around the world and with his students in his areas of interest, including solid state physics, and specifically in thermally and optically stimulated luminescence (TL and OSL). This is an area of research with applications in archaeological and geological dating, and also in the field of radiation dosimetry. 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 140 peer-reviewed publications in international journals. He has been the recipient of several grants, including awards from the Council on Undergraduate Research and National Science Foundation. He is also the inaugural recipient of the John Desmond Kopp Professorship in the Sciences at McDaniel College.
He is the co-author of three books in the field of luminescence dosimetry, "Practical and Numerical Exercises in Thermoluminescence," published by Springer in 2006, "Thermally and Optically Stimulated Luminescence: A Simulation Approach," published by Wiley in 2011, and "Advances in Physics and Applications of Optically and Thermally Stimulated Luminescence" published by World Scientific in 2019.
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
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
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
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