MATH 233: Scientific Computing
Theoretical and practical introduction to parallel scientific computing. Survey of hardware and software environments, and selected algorithms and applications. Topics include linear systems, N-body problems, FFTs, and methods for solving PDEs. Practical implementation and performance analysis are emphasized in the context of demonstrative applications in science and engineering.
Prerequisite: MATH 232 . Normal Letter Grade only. Discussion included.
Fall 2019 course scheduling information
Spring 2020 course scheduling information
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