Introduction to Computation in Physical Sciences
Springer International Publishing (Verlag)
978-3-031-17645-6 (ISBN)
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.
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.
Erscheinungsdatum | 27.01.2023 |
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Reihe/Serie | Synthesis Lectures on Computation and Analytics |
Zusatzinfo | XV, 255 p. 58 illus., 51 illus. in color. |
Verlagsort | Cham |
Sprache | englisch |
Maße | 168 x 240 mm |
Gewicht | 587 g |
Themenwelt | Mathematik / Informatik ► Informatik ► Programmiersprachen / -werkzeuge |
Schlagworte | Data Analysis • interactive computation • Just-in-Time Computing • machine learning • Model Building • physical modeling • Problem Solving • Python • Quantum Computing • Simulation • stem • Textbook • Visualization |
ISBN-10 | 3-031-17645-6 / 3031176456 |
ISBN-13 | 978-3-031-17645-6 / 9783031176456 |
Zustand | Neuware |
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