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Classical Mechanics: A Computational Approach with Examples Using Mathematica an

Description: Classical Mechanics by Christopher W. Kulp, Vasilis Pagonis Estimated delivery 3-12 business days Format Paperback Condition Brand New Description 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. Publisher Description 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 algorithmsA solutions manual is available via the Routledge Instructor Hub and extra code is available via the Support Material tab Author Biography 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. Kulps 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. Details ISBN 113849528X ISBN-13 9781138495289 Title Classical Mechanics Author Christopher W. Kulp, Vasilis Pagonis Format Paperback Year 2020 Pages 440 Publisher Taylor & Francis Ltd GE_Item_ID:139847500; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. 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Classical Mechanics: A Computational Approach with Examples Using Mathematica an

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