Optimization@MIT

6.673 -- Introduction to Numerical Simulation in Electrical Engineering
Course Description: 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. Alternate years.

This class is at the Graduate level
Instructor: P. L. Hagelstein
Prerequisites: 6.012 or 6.013

Back to Classes

Suggestions, feedback? Please send your thoughts to optimization-www@mit.edu.