Journal article
Semiconvergence and Relaxation Parameters for Projected SIRT Algorithms
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.
Language: | English |
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Publisher: | Society for Industrial and Applied Mathematics |
Year: | 2012 |
Pages: | A2000-A2017 |
ISSN: | 10957197 and 10648275 |
Types: | Journal article |
DOI: | 10.1137/110834640 |
ORCIDs: | Hansen, Per Christian |