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Details for:
Gezerlis A. Numerical Methods in Physics with Python 2ed 2023
gezerlis numerical methods physics python 2ed 2023
Type:
E-books
Files:
1
Size:
53.6 MB
Uploaded On:
Sept. 4, 2023, 11:15 a.m.
Added By:
andryold1
Seeders:
0
Leechers:
0
Info Hash:
A54B9F3B1CE9FB001735F21315C31DFC138DD32E
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Textbook in PDF format Bringing together idiomatic Python programming, foundational numerical methods, and physics applications, this is an ideal standalone textbook for courses on computational physics. All the frequently used numerical methods in physics are explained, including foundational techniques and hidden gems on topics such as linear algebra, differential equations, root-finding, interpolation, and integration. The second edition of this introductory book features several new codes and 140 new problems (many on physics applications), as well as new sections on the singular-value decomposition, derivative-free optimization, Bayesian linear regression, neural networks, and partial differential equations. The last section in each chapter is an in-depth project, tackling physics problems that cannot be solved without the use of a computer. Written primarily for students studying computational physics, this textbook brings the non-specialist quickly up to speed with Python before looking in detail at the numerical methods often used in the subject. - Provides examples and demonstrations of idiomatic usage of Python and the NumPy library, listing and discussing more than sixty complete codes on numerical methods and physics projects - Carefully explains, using actual derivations and code, topics which often appear mysterious: rounding error, ill-conditioning, automatic differentiation, the QR eigenvalue method, the singular-value decomposition, Lagrange interpolation, the Fast Fourier Transform, Bayesian linear regression, Gauss–Legendre and Monte Carlo quadrature - Accompanied by online resources at numphyspy.org: Python and NumPy tutorials, all the programs listed in the book, extended versions of two matrix-related sections, solutions to selected programming problems (all readers), solutions to all programming problems (instructors only)
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Gezerlis A. Numerical Methods in Physics with Python 2ed 2023.pdf
53.6 MB
