Math 7710 - Numerical Linear Algebra
Syllabus
Instructor: Xiaoliang Wan Lecture: TTh 10:30-11:50pm, 235 Lockett Hall Office Hours: MW 12:30-2:00pm Description: In this course, we will focus on how to perform matrix computations efficiently and accurately. Topics will include Gaussian elimination, singular value decomposition, eigenvalue solvers, and iterative methods for linear systems. In addition to these classical topics, we will also pay attention to randomized algorithms. Both theoretical analysis and numerical experiments will be discussed. A programming language is required, and Python is recommended.
Grade: Your final grade will be based on your
performance on homework and the final project. You are encouraged to discuss with others
about your homework. However, you must prepare you own solutions.
Homework
| Instructor: | Xiaoliang Wan |
| Lecture: | TTh 10:30-11:50pm, 235 Lockett Hall |
| Office Hours: | MW 12:30-2:00pm |
| Description: | In this course, we will focus on how to perform matrix computations efficiently and accurately. Topics will include Gaussian elimination, singular value decomposition, eigenvalue solvers, and iterative methods for linear systems. In addition to these classical topics, we will also pay attention to randomized algorithms. Both theoretical analysis and numerical experiments will be discussed. A programming language is required, and Python is recommended. |
| Grade: | Your final grade will be based on your performance on homework and the final project. You are encouraged to discuss with others about your homework. However, you must prepare you own solutions. |