UNIVERSITETET I LINKÖPING
Matematiska Institutionen
Numerisk analys

October 2004

Eigenvalue problems for dense and sparse matrices, 5-6 points, Spring 2006


Teacher: Lars Eldén, tel 28 2183. E-mail: laeld -at- mai.liu.se  

The course will be based on the book G. W. Stewart, Matrix Algorithms Volume II: Eigensystems, SIAM, 2001


Lectures 

Preliminary schedule:
  1. Ch. 1: Eigensystems, norms, perturbation theory
  2. Ch. 2: QR algorithm 1
  3. Ch. 2: QR algorithm 2
  4. Ch. 2: QR algorithm 3
  5. Ch. 3: The symmetric eigenvalue problem
  6. Ch. 3: SVD
  7. Ch. 3: The generalized eigenvalue problem
  8. Ch. 4: Eigenspaces
  9. Ch. 4: Krylov subspaces, Rayleigh-Ritz
  10. Ch. 5: Arnoldi
  11. Ch. 5: Lanczos
  12. Ch. 6: Subspace iteration, Newton-based methods

Computer Assignments




Lars Eldén

February 2006