Mathematical Methods using Python: Applications in Physics and Engineering

Vasilis Pagonis

ISBN 10: 1032278366 / ISBN 13: 9781032278360

Edité par Taylor & Francis Ltd, 2024

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N° de réf. du vendeur C9781032278360

Détails bibliographiques

• Titre: Mathematical Methods using Python: Applications in Physics and Engineering
• Éditeur: Taylor & Francis Ltd
• Date de parution: 2024
• Langue: anglais
• ISBN à 10 chiffres: 1032278366
• ISBN à 13 chiffres: 9781032278360
• Reliure: Hardback
• État de l'article: New

A propos de ce titre

Synopsis

This advanced undergraduate textbook presents a new approach to teaching mathematical methods for scientists and engineers. It provides a practical, pedagogical introduction to utilizing Python in Mathematical and Computational Methods courses.

À propos de l?auteur

Vasilis Pagonis is Professor of Physics Emeritus at McDaniel College, Maryland, USA. His research area is applications of thermally and optically stimulated luminescence. He taught courses in mathematical physics, classical and quantum mechanics, analog and digital electronics and numerous general science courses. Dr. Pagonis' resume lists more than 200 peer-reviewed publications in international journals. He is currently associate editor of the journal Radiation Measurements. He is co-author with Christopher Kulp of the undergraduate textbook "Classical Mechanics: a computational approach, with examples in Python and Mathematica" (CRC Press, 2020). He has also co-authored four graduate level textbooks in the field of luminescence dosimetry, and most recently published the book "Luminescence Signal analysis using Python" (Springer, 2022).

Christopher Kulp is the John P. Graham Teaching Professor of Physics at Lycoming College. He has been teaching undergraduate physics at all levels for 20 years. Dr. Kulp's research focuses on modelling complex systems, time series analysis, and machine learning. He has published 30 peer-reviewed papers in international journals, many of which include student co-authors. He is also co-author of the undergraduate textbook "Classical Mechanics: a computational approach, with examples in Python and Mathematica" (CRC Press, 2020).