Optimization@MIT

6.337J -- Introduction to Numerical Methods
Course Description: 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.

This class is at the Graduate level
This course is also known as: 18.335J
Instructor: A. Edelman, J. White, P. O. Persson
Open Courseware Website
Prerequisites: 18.03, 18.06

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