All Courses
EE636 Postgraduate

Matrix Computations

Credits
6
Type
Theory
Lecture
6 hr
Half sem
No

Course Content

Basic iterative methods for solutions of linear systems and their rates of convergence. Generalized conjugate gradient, Krylov space and Lanczos methods. Iterative methods for symmetric, non-symmetric and generalized eigenvalue problems. Singular value decompositions. Fast computations for structured matrices. Polynomial matrix computations. Perturbation bounds for eigenvalues.

Text / References

  1. 1 267011Owe Axelsson, Iterative solution methods. Cambridge.1994.267011G. Meurant: Computer solution of large linear systems. North Holland, 1999.267011Golub and C. Van Loan: Matrix computations. John Hopkins Press 1996.267011G. W. Stewart and J. Sun: Matrix perturbation theory. Academic press,1990.