TIES581 Numerical Linear Algebra (6 cr)
Study level:
Advanced studies
Grading scale:
0-5
Language:
English
Responsible organisation:
Faculty of Information Technology
Curriculum periods:
2020-2021, 2021-2022, 2022-2023
Description
Content
On the numerical solution of large and sparse systems of linear algebraic equations using direct methods and Krylov subspace methods. On the numerical solution of the algebraic eigenvalue problem. On singular value decomposition and its applications.
Completion methods
Self-studying using e-materials. Final exam or some alternative with prior agreement with the lecturer.
Learning outcomes
After completing the course the student can name the most common numerical methods for the solution of linear systems and algebraic eigenvalue problems. The student also knows the main theory behind the methods. The student can implement the basic methods using Matlab e.g.
Description of prerequisites
"TIEA381 Numerical methods" and programming skills.
Study materials
Self study material available at http://users.jyu.fi/~rainom/numlin/
Completion methods
Method 1
Select all marked parts
Parts of the completion methods
x
Teaching (6 cr)
Type:
Participation in teaching
Grading scale:
0-5
Language:
English