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, Homework 2, Homework 3
* (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:
qr