Mathematical Methods for Physics using Microsoft EXCEL

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A01=Shinil Cho
Author_Shinil Cho
Category=PBW
Category=PHU
Category=UFC
computational methods for physics problems
computational physics
differential equations solutions
entropy in physics
eq_bestseller
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_science
EXCEL
Lagrangian mechanics
mathematical physics
polymer random walks
population dynamics modeling
quantum wave packets
VBA

Product details

  • ISBN 9781032844541
  • Weight: 570g
  • Dimensions: 178 x 254mm
  • Publication Date: 09 Jun 2025
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
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In Mathematical Methods for Physics using Microsoft Excel, readers will investigate topics from classical to quantum mechanics, which are often omitted from the course work. Some of these topics include rocket propulsion, Rutherford scattering, precession and nutation of a top under gravity, parametric oscillation, relativistic Doppler effect, concepts of entropy, kinematics of wave packets, and boundary value problems and associated special functions as orthonormal bases. Recent topics such as the Lagrange point of the James Webb Space Telescope, a muon detector in relation to Cherenkov’s radiation, and information entropy and H-function are also discussed and analyzed. Additional interdisciplinary topics, such as self-avoiding random walks for polymer length and population dynamics, are also described.

This book will allow readers to reproduce and replicate the data and experiments often found in physics textbooks, with a stronger foundation of knowledge. While investigating these subjects, readers will follow a step-by-step introduction to computational algorithms for solving differential equations for which analytical solutions are often challenging to find. For computational analysis, features of Microsoft Excel® including AutoFill, Iterative Calculation, and Visual Basic for Applications are useful to conduct hands-on projects. For the visualization of computed outcomes, the Chart output feature can be readily used. There are several first-time attempts on various topics introduced in this book such as 3D-like graphics using Euler’s angle and the behavior of wave functions of harmonic oscillators and hydrogen atoms near the true eigenvalues.

Shinil Cho completed his graduate studies at Seoul National University (MS) and the Ohio State University (Ph.D). He has conducted research in statistical physics and cryogenic magnetic resonance spectroscopy. Currently he is a Professor at La Roche University. His current research intertest includes quantum computation and biometric authentication.

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