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Reference book on numerical algorithms, including linear systems, interpolation, extrapolation, sorting, root finding, nonlinear equations, optimization, eigensystems, fourier transforms, and differential equations.
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An interdisciplinary course to introduce students in the sciences, engineering and other programming related disciplines to advanced computing techniques using the supercomputers at SDSC. Additional architectures may also be explored.
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introduction, background, and basic information; MPI routines including MPI Environment Management, Point-to-Point Communications, and Collective Communications routines
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Interconnection networks and routing, basic problems, basic techniques, sorting, list ranking, trees and lists, graphs, strings, computational geometry, numerical algorithms
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This text presents a broad survey of key topics in computational physics for advanced undergraduates and beginning graduate students, including new discussions of visualization tools, wavelet analysis, molecular dynamics, and computational fluid dynamics. Rubin Landau has taught computational physics for many years, and has been part of HPC outreach efforts for nearly as many.
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Limited educational materials exist in this field. Introduction to Computational Science fills this void with a flexible, readable textbook that assumes only a background in high school algebra and enables instructors to follow tailored pathways through the material. It is the first textbook designed specifically for an introductory course in the computational science and engineering curriculum.
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