6.673 Introduction to Numerical Simulation in Electrical Engineering
Selection of a simulation model and physical approximations. Solution of nonlinear coupled PDEs in 1-D through finite difference and finite element methods, Newton's method, and variants. Finite difference and finite element methods in 2-D and sparse matrix methods emphasizing conjugate gradient algorithms. Semiconductor devices used as primary examples; additional examples drawn from E&M modeling, nonlinear pulse propagation, and laser physics.
6.673 will not be offered this semester. It will be instructed by P. L. Hagelstein.
This class counts for a total of 12 credits. This is a graduate-level class.
You can find more information at the Optimization at MIT: 6.673 site.
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