MAT-51626 MATRIX ALGEBRA 2, 6 cr
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Courses persons responsible
Robert Piche
Implementations
Period 1 | Period 2 | Period 3 | Period 4 | Period 5 | Summer | |
Lecture | - | - | 4 h/week | 4 h/week | - | - |
Objectives
Learn the mathematical basis and practical issues related to modern numerical methods for the direct and iterative solution of linear equations, least squares problems, and eigenvalue problems.
Content
Content | Core content | Complementary knowledge | Specialist knowledge |
1. | matrix factorizations and decompositions |   | |
2. | perturbation theory and conditioning |   | |
3. | floating point arithmetic and roundoff effects |   | |
4. | structure-exploiting algorithms |   | |
5. | the engineering of numerical software |   |
Requirements for completing the course
Homework problems.
Evaluation criteria for the course
Study material
Type | Name | Auhor | ISBN | URL | Edition, availability... | Exam material | Language |
Book | Applied Numerical Linear Algebra | J. W. Demmel | 0-89871-389-7 | SIAM 1997 | No | English |
Prerequisites
Code | Course | Credits | M/R |
MAT-31090 | MAT-31090 Matrix Algebra 1 | 5 | Mandatory |
Prequisite relations (Sign up to TUT Intranet required)
Remarks
Course is lectured every second year.
Scaling
Methods of instruction | Hours |
Lectures | 96 |
Assignments | 60 |
Total sum | 156 |
Correspondence of content
MAT-51620 Matrix Algebra 2
Last modified | 24.04.2006 |
Modified by | Robert Piche |