Optimization@MIT

6.339J -- Numerical Methods for Partial Differential Equations
Course Description: Covers the fundamentals of modern numerical techniques for a wide range of linear and nonlinear elliptic, parabolic, and hyperbolic partial differential and integral equations. Topics include mathematical formulations; finite difference, finite volume, finite element, and boundary element discretization methods; and direct and iterative solution techniques. The methodologies described form the foundation for computational approaches to engineering systems involving heat transfer, solid mechanics, fluid dynamics, and electromagnetics. Computer assignments requiring programming.

This class is at the Graduate level
This course is also known as: 2.097J, 16.920J
Instructor: D. L. Darmofal, A. T. Patera, J. K. White
Open Courseware Website
Prerequisites: 18.03 or 18.06

Back to Classes

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