Semiconvergence and Relaxation Parameters for Projected SIRT Algorithms
Publication: Research - peer-review › Journal article – Annual report year: 2012
We give a detailed study of the semiconverg ence behavior of projected nonstationary simultaneous iterative reconstruction technique (SIRT) algorithms, including the projected Landweber algorithm. We also consider the use of a relaxation parameter strategy, proposed recently for the standard algorithms, for controlling the semiconvergence of the projected algorithms. We demonstrate the semiconvergence and the performance of our strategies by examples taken from tomographic imaging. © 2012 Society for Industrial and Applied Mathematics.
| Original language | English |
|---|---|
| Journal | S I A M Journal on Scientific Computing |
| Publication date | 2012 |
| Volume | 34 |
| Journal number | 4 |
| Pages | A2000-A2017 |
| ISSN | 1064-8275 |
| DOIs | |
| State | Published |
Bibliographical note
© 2012 Society for Industrial and Applied Mathematics
| Citations | Web of Science® Times Cited: 0 |
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Keywords
- Algorithms, Parameter estimation, Tomography, Iterative methods, Projected Landweber iteration, Simultaneous iterative reconstruction technique, Relaxation parameters, Semiconvergence, Nonnegativity constraints, Tomographic imaging
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