Gäller från och med: Autumn 2013
Beslutad av: FN1/Anders Gustafsson
Datum för fastställande: 2014-05-13
Avdelning: Numerical Analysis
Kurstyp: Ren forskarutbildningskurs
Undervisningsspråk: English
The aim of the course is to teach the student theoretical and algorithmical aspects of modern iterative methods in computational linear algebra. This knowledge is important for all computationally intensive disciplines, e.g. fluid dynamics, image analysis, meteorolgy, automatic control etc. Furthermore, the aim is to confront the student with modern research questions in numerical linear algebra and their interrelation with numerics of partial differential equations in engineering and mathematical sciences.
Kunskap och förståelse
För godkänd kurs skall doktoranden have demonstrated substantially improved and more useful knowledge of numerical linear algebra than students who only have completed a regular basic course in scientific computing.
Färdighet och förmåga
För godkänd kurs skall doktoranden
Värderingsförmåga och förhållningssätt
För godkänd kurs skall doktoranden be able to judge and discuss different numerical methods within linear algebra
The course focuses on iterative methods for large scale, sparse linear problems. These problems occur mostly when discretizing partial differential equations in engineering sciences, physics and mathematics.
Saad, Y.: Iterative Methods for Sparse Linear Systems. SIAM, 2003.
Undervisningsformer: Seminarier, projekt
Examinationsformer: Seminarieföredrag av deltagarna, övrigt.
Talks, numerical experiments
Betygsskala: Underkänd, godkänd
Examinator:
Förutsatta förkunskaper: Numerical Analysis courses as required for engineering programs F,Pi,E,D or mathematics/pysics master's program. Programming capabilities in at least one of the languages MATLAB/Python/C/C++/Fortran
Kursansvariga: