Course setup and information

Course literature

• Lecture notes in numerical linear algebra (by EJ). PDF-files below.
• Parts from the book "Numerical Linear Algebra", by Lloyd N. Trefethen and David Bau. ISBN: 0-89871-361-7, referred to as [TB]. It is available in Kårbokhandeln. The chapters and recommended pages are given in the Lecture notes PDF-files.

Outline:

• Block 1: Large sparse eigenvalue problems
  • Literature: sparse_eig.pdf (will be announced later)
• Block 2: Large sparse linear systems
  • Literature: linsys.pdf (preliminary)
• Block 3: Dense eigenvalue algorithms (QR-method)
  • Literature: qrmethod.pdf (will be announced later)
• Block 4: Functions of matrices
  • Literature: matrixfunctions.pdf (will be announced later)
• Block 5: (only for PhD students) Matrix equations
  • Literature: matrixeqs.pdf (will be announced later)

Learning activities:

• Homework 1 (will appear later)
• Homework 2 (will appear later)
• Homework 3 (will appear later)
• As part of all homeworks: Course training area: wiki. Mobile devices can use QR-code: