Modeling and Simulation of Everyday Things
by Roth, Michael
English | 2025 | ISBN: 1032995041 | 545 pages | True PDF EPUB | 90.3 MB
by Roth, Michael
English | 2025 | ISBN: 1032995041 | 545 pages | True PDF EPUB | 90.3 MB
With Python, C++, FORTRAN, and a friendly conversational tone peppered with attempted
humor, Modeling and Simulation of Everyday Things takes us on a journey through constructing
models and simulations of systems and processes in everyday life and beyond.
Readers can access an example‑packed online repository of programs in each of the three
languages, including seldom covered work in generalized geometries and 3D.
This second edition is a wonderful confluence of development of Python and C++ applications
and will cultivate a broad perspective in the readership through having translations of
major programs available in Python, C++, and FORTRAN (as we move forward, software
engineers and researchers are recognizing the value of legacy programming). In addition to
leveraging the best of the three languages, the readership can explore versatility in visualization
by using native Python graphics as well as POV Raytracer and third‑party animation
tools. We approach modeling of a system by introducing the theoretical framework of
the system, followed by its discretized form, and then with narrated programs and sample
results that also appear in the online repository.
Readers will be able to critically think through constructing models and simulations of
a vast array of systems, interpreting results, and visualizing them (which includes examples
for visually and auditorily impaired individuals). Most importantly, their confidence will
propel them forward to meet the challenges of the field and to think "outside the book."
Leveraging the best of three coding languages, two tracks for visualization, a conversational
tone, and numerous examples, this book is extremely versatile and can be used by
students from high school through science undergraduates in 2‑year and 4‑year institutions.
The text is also ideal for use in Data Science as well as Professional Science Master’s
programs.
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