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OverviewThis book is intended to serve as a basic introduction to scientific computing by treating problems from various areas of physics - mechanics, optics, acoustics, and statistical reasoning in the context of the evaluation of measurements. After working through these examples, students are able to independently work on physical problems that they encounter during their studies. For every exercise, the author introduces the physical problem together with a data structure that serves as an interface to programming in Excel and Python. When a solution is achieved in one application, it can easily be translated into the other one and presumably any other platform for scientific computing. This is possible because the basic techniques of vector and matrix calculation and array broadcasting are also achieved with spreadsheet techniques, and logical queries and for-loops operate on spreadsheets from simple Visual Basic macros. So, starting to learn scientific calculation with Excel, e.g., at High School, is a targeted road to scientific computing. The primary target groups of this book are students with a major or minor subject in physics, who have interest in computational techniques and at the same time want to deepen their knowledge of physics. Math, physics and computer science teachers and Teacher Education students will also find a companion in this book to help them integrate computer techniques into their lessons. Even professional physicists who want to venture into Scientific Computing may appreciate this book. Full Product DetailsAuthor: Dieter MergelPublisher: Springer Nature Switzerland AG Imprint: Springer Nature Switzerland AG Edition: 1st ed. 2022 Weight: 0.759kg ISBN: 9783030823245ISBN 10: 3030823245 Pages: 482 Publication Date: 02 January 2023 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: Manufactured on demand We will order this item for you from a manufactured on demand supplier. Language: English Table of Contents1 Introduction: What do you need, what do you learn.- 2 Sets of curves.- 3 Networks of formulas.- 4 Macros.- 5 Basic mathematical techniques.- 6 Superposition of motions.- 7 Random numbers and random number generators.- 8 Evaluation of measurements.- 9 Trend curves.- 10 Integration of Newton's equation of motion.ReviewsAuthor InformationDieter Mergel studied physics in Göttingen, obtained his doctorate at the Technical University of Clausthal in the field of solid-state physics and worked 11 years in the Philips Research Laboratories Hamburg / Aachen on automatic speech recognition and optical data storage. Since 1993 he is Professor of Technical Physics at the University of Duisburg-Essen. His professional activities include research in the field of solid-state layers and lectures for students in teaching and medical professions. Tab Content 6Author Website:Countries AvailableAll regions |