A matrix-free method for regularisation with unrestricted variables
Master thesis
Permanent lenke
https://hdl.handle.net/1956/3207Utgivelsesdato
2008Metadata
Vis full innførselSamlinger
Sammendrag
In this thesis a method for the partially norm constrained least squares problem is presented. The method relies on a large-scale trust-region solver and has a low storage requirement. A combination of image misalignment and the inverse problem deblurring illustrates the use of the method.
Utgiver
The University of BergenOpphavsrett
The authorCopyright the author. All rights reserved