Analytical and practical properties of these methods will be
examined. Students will get computational experience in applying the
algorithms studied using the MATLAB problem-solving environment.
Prerequisites: Familiarity with basic properties of matrices and
some programming experience, preferably with MATLAB, is
required. Students who are not sure about prerequisites are encouraged
to talk to me.
*NEW* MATLAB Tutor in the MLC Computer lab. Click here for more information.
Course Description
In the course we will study algorithms for the solution of linear systems
(direct and iterative methods, as well as various factorizations and
decompositions for general matrices and those of special structure),
least-squares problems for overdetermined systems, and
eigenvalue/eigenvector problems.
Matlab
The programming language for this course is MATLAB.
You can obtain access to MATLAB via one of the following:
| Homework | 20% |
| Labs | 20% |
| Midterm | 30% |
| Final | 30% |
| Total | 100% |
| A | 93 |
| A- | 90 |
| B+ | 87 |
| B | 83 |
| B- | 80 |
| C+ | 77 |
| C | 73 |
| C- | 70 |
| D+ | 67 |
| D | 63 |
| D- | 60 |