Mathematical Sciences: Faculty Publications
The Convergence of Block Cyclic Projection with Over-Relaxation Parameters for Compressed Sensing Based Tomography
Document Type
Article
Publication Date
5-2015
Publication Title
Journal of Computational and Applied Mathematics
DOI
10.1016/j.cam.2014.11.036
ISSN
0377-0427
Abstract
The convergence of the block cyclic projection for compressed sensing based tomography (BCPCS) algorithm had been proven recently in the case of underrelaxation parameter λ∈(0,1]. In this paper, we prove its convergence with overrelaxation parameter λ∈(1,2). As a result, the convergence of the other two algorithms (BCAVCS and BDROPCS) with overrelaxation parameter λ∈(1,2) in a special case is derived. Experiments are given to demonstrate the convergence behavior of the BCPCS algorithm with different values of λ.
Recommended Citation
Arroyo, Fangjun, Edward Arroyo, Xiezhang Li, Jiehua Zhu.
2015.
"The Convergence of Block Cyclic Projection with Over-Relaxation Parameters for Compressed Sensing Based Tomography."
Journal of Computational and Applied Mathematics, 280: 59-67.
doi: 10.1016/j.cam.2014.11.036
https://digitalcommons.georgiasouthern.edu/math-sci-facpubs/325
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