Matrix Analysis and Computation

Instructors: 

Chandrasekaran

Focus Area: 

Computational Methods

Syllabus: 

Graduate level-matrix theory with introduction to matrix computations. SVD's, pseudoinverses, variational characterization of eigenvalues, perturbation theory, direct and iterative methods for matrix computations. Recommended preparation: Students should be proficient in basic numerical methods, linear algebra, mathematically rigorous proofs, and some programming language.

Units: 

4

Course Number: 

ChE211A,CS211A,ECE210A,Math206A,ME210A