AM213A: Numerical Linear Algebra
Focuses on numerical solutions to classic problems of linear algebra. Topics include: LU, Cholesky, and QR factorizations; iterative methods for linear equations; least square, power methods, and QR algorithms for eigenvalue problems; and conditioning and stability of numerical algorithms. Provides hands-on experience in implementing numerical algorithms for solving engineering and scientific problems. Basic knowledge of mathematical linear algebra is assumed. Enrollment is restricted to graduate students. Undergraduate students may enroll with permission of the instructor.
5 credits
| Year | Fall | Winter | Spring | Summer |
|---|---|---|---|---|
| 2025-26 |
|
|||
| 2024-25 |
|
|||
| 2023-24 |
|
|||
| 2022-23 |
|
|||
| 2021-22 |
|
While the information on this web site is usually the most up to date, in the event of a discrepancy please contact your adviser to confirm which information is correct.