Introduction to Numerical Methods
As taught in: Fall 2010
The image of the unit sphere under any m x n matrix is a hyperellipse. (Image by Dr. Per-Olof Persson.)
Instructors:
Prof. Steven G. Johnson
MIT Course Number:
18.335J / 6.337J
Level:
Graduate
Course Features
Course Description
This course offers an advanced introduction to numerical linear algebra. Topics include direct and iterative methods for linear systems, eigenvalue decompositions and QR/SVD factorizations, stability and accuracy of numerical algorithms, the IEEE floating point standard, sparse and structured matrices, preconditioning, linear algebra software. Problem sets require some knowledge of MATLAB®.
