Syllabus for |
|
| TMA265 - Numerical linear algebra |
| |
| Syllabus adopted 2014-02-17 by Head of Programme (or corresponding) |
| Owner: MPENM |
|
|
7,5 Credits |
| Grading: TH - Five, Four, Three, Not passed |
| Education cycle: Second-cycle |
|
Major subject: Mathematics |
|
Department: 11 - MATHEMATICAL SCIENCES
|
Teaching language: English
Open for exchange students
| Course module |
|
Credit distribution |
|
Examination dates |
|
Sp1 |
Sp2 |
Sp3 |
Sp4 |
Summer course |
No Sp |
| 0101 |
Examination |
7,5 c |
Grading: TH |
|
7,5 c
|
|
|
|
|
|
|
27 Oct 2015 pm V, |
05 Jan 2016 pm H, |
am J |
In programs
TKITE SOFTWARE ENGINEERING, Year 3 (compulsory elective)
MPENM ENGINEERING MATHEMATICS AND COMPUTATIONAL SCIENCE, MSC PROGR, Year 2 (elective)
MPPAS PHYSICS AND ASTRONOMY, MSC PROGR, Year 2 (elective)
Examiner:
Professor
Larisa Beilina
Docent
Ivar Gustafsson
Go to Course Homepage
Eligibility:
In order to be eligible for a second cycle course the applicant needs to fulfil the general and specific entry requirements of the programme that owns the course. (If the second cycle course is owned by a first cycle programme, second cycle entry requirements apply.)
Exemption from the eligibility requirement:
Applicants enrolled in a programme at Chalmers where the course is included in the study programme are exempted from fulfilling these requirements.
Course specific prerequisites
Basic knowledge of numerical analysis and linear algebra.
Aim
To give the students knowledge and skill in using algorithms and numerical software for linear algebra problems.
Learning outcomes (after completion of the course the student should be able to)
- use numerical linear algebra as building bricks in computation
- make a linear algebra model of a problem from the physical reallity
- derive and use the numerical tecniques needed for a professional solution of a given linear algebra problem
- use computer algorithms, programs and software packages to compute solutions to current problems
- critically analyze anf give advice regarding different choices of models, algorithms, and software with respect to efficience and reliability
- critically analyze the accuracy of the obtained numerical result and to present it in a visualized way.
Content
Numerical linear algebra problems arise in many different fields of science like solid mechanics, electrical networks, signal analysis and optimisation. In this course we study basic linear algebra concepts like matrix algebra, vector- and matrix norms, error analysis and condition numbers. For solving linear systems of equations we consider Gaussian elimination with different pivoting strategies. For least-squares problems we study QR-factorisation and singular value decomposition. The metods for eigenvalue problems are based on transformation techniques for symmetric and nonsymmetric matrices.
We discuss the numerical algorithms with respect to computing time and memory requirements. By homework assignments and project work the students get experiences in implementation and evaluation of numerical algorithms for linear algebra problems.
Organisation
Lectures, supervising of hand-ins and computer exercises
Literature
Applied Numerical Linear Algebra, James W. Demmel, SIAM 1997, chapters 1-5
Examination
Experimental and homework assignments(hand-ins) and written examination.