Computational physics

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The integration of computation and simulation has become vital in the scientific process, requiring a blend of theoretical insight, physical and mathematical understanding, and programming skills. This upper-division text offers a comprehensive overview of modern computational physics from a multidisciplinary perspective, emphasizing a hands-on approach through model programs and the Python programming language. Python, favored for its accessibility, is ideal for beginners and is widely used in scientific computing, featuring excellent graphics and symbolic manipulation capabilities. Designed for upper-level undergraduates or beginning graduates, the text equips readers with essential knowledge of computational tools and mathematical methods necessary for success. Each chapter begins with a sample problem, guiding readers through studying, coding, debugging, visualizing results, and articulating conclusions. Exercises at the chapter's end promote independent practice, supported by model programs. The first third of the book covers topics suitable for a one-semester course in scientific computing, while the latter two-thirds delve into more advanced physics, suitable for a two-semester course, addressing nonlinear ODEs, chaotic systems, fractals, and parallel computing. The e-book enhances the experience with codes, visualizations, applets, and links to video lectures, providing a rich, interactive learning environment.