Table of Contents:
  • 1. Matrix multiplication
  • 2. Matrix analysis
  • 3. General linear systems
  • 4. Special linear systems
  • 5. Orthogonalization and least squares
  • 6. Modified least squares problems and methods
  • 7. Unsymmetric eigenvalue problems
  • 8. Symmetric eigenvalue problems
  • 9. Functions of matrices
  • 10. Large sparse eigenvalue problems
  • 11. Large sparse linear system problems
  • 12. Special topics.