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Computational Modeling and Visualization of Physical Systems with Python
book

Computational Modeling and Visualization of Physical Systems with Python

by Jay Wang
January 2016
Intermediate to advanced
492 pages
17h 34m
English
Wiley
Content preview from Computational Modeling and Visualization of Physical Systems with Python

List of programs

We have built many programs in this book. The table below summarizes these programs and dependencies. Standard libraries such as Matplotlib (2D), NumPy, and SciPy are omitted. Library abbreviations are: fft – fast Fourier transform (fft.py, Chapter 5); fem – finite element method (fem.py, Chapter 9); fileio – file input/output (fileio.py, Chapter 9); itg – numerical integration (integral.py, Chapter 8); ode – ordinary differential equation (ode.py, Chapter 2); rtf – root finders (rootfinder.py, Chapter 3); and vpm – VPython Modules (vpm.py, Chapter 6). In addition, we also note the use of 3D and animation libraries: Axes3D – Matplotlib 3D plotting; am – Matplotlib animation; and vp – VPython.

Page numbers with the “S:” prefix are entries from the Digital Online Companion.

Program Description Dependence
3body, 206 Three-body motion ode, rtf, vp
balltoss, 84 Ideal projectile motion vp
baseball, 132 Flight of baseball ode, vp
bdipole, 391 Magnetic dipole field vp
bem, 522 Basis expansion method itg
bisect, 130 Bisection root finder  
boltzmann, 627 Boltzmann distribution  
bouncing_ball, 40 Bouncing ball vp
brownian, 559 Brownian motion am
coupled, S:112 Quantum transitions ode, vp, vpm
ctmc, S:263 Classical ion-atom collisions ode, rtf. vp, vpm
deflect, 679 Deflection function itg, rtf
dipole, 394 Dipole distribution Axes3D
earth, 136 Planetary motion ode, vp
edipole, 393 Electric dipole radiation vp
eigh, 285 Eigenvalue problem ...
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Publisher Resources

ISBN: 9781118110225