E0 299: Computational Linear Algebra

• Announcements:

1. Crediting is strictly restricted to MTech (AI) 2021-2023 batch. (others are welcome to audit).

2. The first online meeting at 10 am on August 10.

Course Details

• Term: August - December 2021.

• Credits: 3:1.

• Hours: Tuesday, Thursday: 10:00 - 11:30 am.

• Instructor: Kunal N. Chaudhury (kunal@iisc.ac.in).

• Grading: 2-3 tests (50%), final exam (50%).

• Syllabus: Solution of linear equations, vector space, linear transformations, matrix representation, inner-products and norms, orthogonality and least-squares, trace and determinant, eigendecomposition, Hermitian matrices and quadratic forms, singular value decomposition.

• Textbooks:

1. S. Axler, Linear Algebra Done Right, Springer, 2015.

2. L. Trefethen and D. Bau, Numerical Linear Algebra, SIAM, 1997.

• Web resources:

1. http://ocw.mit.edu/18-06S05 (video lectures by Gilbert Strang)

2. http://vmls-book.stanford.edu/ (linear algebra applications)

3. http://immersivemath.com/ila/index.html (nice visualizations)