TIES581 Numerical Linear Algebra (5 cr)

Study level:
Advanced studies
Grading scale:
0-5
Language:
English
Responsible organisation:
Faculty of Information Technology
Curriculum periods:
2024-2025, 2025-2026, 2026-2027, 2027-2028

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.

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 or Numpy, e.g.

Description of prerequisites

Basics of linear algebra and good 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

Participation in teaching (5 cr)

Type:
Participation in teaching
Grading scale:
0-5
Language:
English

Teaching