Search

This book should be seriously considered as a textbook by anyone teaching computational physics to upper-division physics students. It would be one of my top choices to teach an upper-division computational physics class. The book includes good coverage of the standard techniques usually covered in a numerical methods course: ordinary differential equations, root finding, partial differential equations, integration, Fourier transforms, linear algebra, and minimization with the addition of a few topics of special interest to physicists?chaos, neural networks, and Galerkin methods. Almost all of the techniques are couched in the context of physics examples from the areas of relativistic and classical mechanics, electricity and magnetism, quantum mechanics, thermodynamics, and fluid dynamics. [ABSTRACT FROM PUBLISHER]