18.336[J] Fast Methods for Partial Differential and Integral Equations
Unified introduction to the theory and practice of modern, near linear-time, numerical methods for large-scale partial-differential and integral equations. Topics include preconditioned iterative methods; generalized Fast Fourier Transform and other butterfly-based methods; multiresolution approaches, such as multigrid algorithms and hierarchical low-rank matrix decompositions; and low and high frequency Fast Multipole Methods. Example applications include aircraft design, cardiovascular system modeling, electronic structure computation, and tomographic imaging.
18.336[J] will not be offered this semester. It will be instructed by C. Perez Arancibia.
This class counts for a total of 12 credits. This is a graduate-level class.
You can find more information at the 18.336 - Fast Methods for Partial Differential and Integral Equations site or on the 18.336[J] Stellar site.
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