Introduction to Computation in Physical Sciences

Interactive Computing and Visualization with Python(TM)
1. Auflage 2023
ISBN: 978-3-031-17648-7
Verlag: Springer Nature Switzerland

Buch, Englisch, 255 Seiten, Format (B × H): 168 mm x 240 mm, Gewicht: 462 g

Reihe: Synthesis Lectures on Computation and Analytics

This book provides a practical and comprehensive introduction to computational problem solving from the viewpoints of practitioners in both academic and industrial worlds.  The authors present scientific problem-solving using computation and aim to increase computational thinking, which is the mindset and skillset required to solve scientific problems with computational methodologies via model building, simulation, data analysis, and visualization using the Python programming language.  Topics and examples span fundamental areas of physical science as well as contemporary topics including quantum computing, neural networks, machine learning, global warming, and energy balance. The book features unique and innovative techniques and practices including: intentional scaffolding to help beginners learn computational problem solving; multimodal computing environments including cloud-based platforms and just-in-time computing; emphasis and connection between both numerical and symbolic computations; and extensive exercise sets carefully designed for further exploration as project assignments or self-paced study.  The book is suitable for introductory level readers in physical sciences, engineering, and related STEM disciplines. Specifically, the book is appropriate for use in either a standalone course on computation and modeling and as a resource for readers interested in learning about proven techniques in interactive computing.

Zielgruppe

Professional/practitioner

Autoren/Hrsg.

Wang, Adam

Wang, Jay

Fachgebiete

• Naturwissenschaften Physik Physik Allgemein Theoretische Physik, Mathematische Physik, Computerphysik
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Programmierung: Methoden und Allgemeines
• Mathematik | Informatik EDV | Informatik Informatik Mathematik für Informatiker
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Programmier- und Skriptsprachen
• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen

Inhaltsverzeichnis

Programming environments.- Python Tutorial.- Interactive computing and visualization.- Basic algorithms.- Force and motion.- Oscillations and waves.- Modern physics and quantum mechanics.- Statistical and thermal processes.- Complex Systems.

Über Autor(innen)

Jay J. Wang, Ph.D. is a Professor and Chairperson in the Department of Physics at UMass Dartmouth.  He received his Ph.D. in Theoretical Atomic Physics from the University of Tennessee.  Dr. Wang's interests include computational physics, physics education, and research pertaining to the computation and integration of interactive computation in physics and related STEM curricula.  
Adam L. Wang received his M.S. in Physics from the University of Chicago, where he was awarded an NSF Graduate Research Fellowship.  He has worked on complex systems and nonlinear dynamics, aided by computational tools.  More recently, he uses machine learning, interactive computing, and visualization as a data scientist.