Lecture notes 

• Chapter 1 (Examples of eigenvalue problems, last updated Feb 20, 2018)
• Chapter 2 (Basics, last updated Feb 26, 2018)
• Chapter 3 (Newton methods, last updated Feb 26, 2018)
• Chapter 4 (QR algorithm, Mar 13, 2018)
• Chapters 5 & 6 (Cuppen's divide & conquer argorithm / LAPACK software for dense problems)
  These two chapters are not covered in the lecture.
• Chapter 7 (Vector iteration aka power method, updated Apr 26, 2018)
• Chapter 8 (Subspace iteration, Apr 4, 2016)
• Chapter 9 (Krylov spaces, updated Apr 19, 2016)
• Chapter 10 (Arnoldi and Lanczos algorithms, April 27, 2016)
• Chapter 11 (Restarting Arnoldi and Lanczos algorithms, May 4, 2016)
• Chapter 12 (Jacobi-Davidson method)
• Chapter 13 (Rayleigh quotient and trace minimization, updated May 17, 2016)


• The complete lecture notes (2016)

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