Course setup and information

This page is under construction. More information will be announced here later. In the meantime you can also see the information in the  course pages of previous year.

Course literature

• Lecture notes in numerical linear algebra (written by the lecturer). 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 specified 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 (preliminary)

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:

Lecture schedule:

Lecture 1:

Lecture 2:

Lecture 4:

Lecture 5:

Lecture 6:

Lecture 7:

Lecture 8:

Lecture 9:

Lecture 10:

Lecture 11:

Lecture 12:

Lecture 13:

Lecture 14:

Lecture 15: