Class Schedule
9:45am -- 11:00am -- Ackerman Hall 211.
Instructor:
Yousef Saad
e-mail: saad =at= umn
Office: Keller H. 5-225B -- Office Phone: (612)624-7804
Office Hours
| Who: | When: | Where: |
| Yousef Saad | TBA | TBA |
Short description of course:
This course is an introduction to sparse matrix techniques with an emphasis on
solving sparse linear systems of equations and eigenvalue problems.
There will also be a coverage of other topics related to sparse matrix
computations, e.g., graph-based methods in machine learning.
About 1/3 of the course will be devoted to sparse direct methods
and another 1/3 to iterative methods and eigenvalue problems. The rest will be devoted to discussed
sparsity in general, applications, and software, and implementation.
This web-site will include lecture notes and minimal additional information.
Homeworks, quizzes, grades, and all other information will be posted on Canvas