6.335[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.
6.335[J] will be offered this semester (Fall 2018). It is 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 http://www.google.com/search?&q=MIT+%2B+6.335&btnG=Google+Search&inurl=https site.
© Copyright 2015 Yasyf Mohamedali