MVEX01-16-04 Investigation of the Solution of Linear Least Squares Problems

In this project we will study three different methods for the solution
of linear least square problems: the method of normal equations, the
QR decomposition and the SVD decomposition. Such problems arise in
curve fitting, statistical modelling with noisy data as well as in
image compression. We will study why minimization is possible and
discover the solution algorithms for all three cases. Programs
written in Matlab will demonstrate performance for every algorithm on
the solution of practical problems.
Obs! För GU-studenter räknas projektet som ett projekt i Tillämpad Matematik (MMG900/MMG920).
 
Projektkod MVEX01-16-04
Gruppstorlek 3-4
Handledare Docent Larisa Beilina, 031-7725367 , larisa.beilina@chalmers.se
Examinator Maria Roginskaya
Institution Matematiska vetenskaper

Publicerad: må 26 okt 2015.