Class Schedule

    bullet 9:45am -- 11:00am -- Ackerman Hall 211.


    bullet Yousef Saad e-mail: saad =at= umn
    bullet Office: Keller H. 5-225B -- Office Phone: (612)624-7804

Office Hours

Who: When: Where:
Yousef Saad TBA TBA

Short description of course: Line

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