Abstract
We consider the randomized Kaczmarz method with a constant relaxation parameter and present an upper bound for the expectation of the noise-error part. Based on the upper bound, we suggest a k-dependent relaxation parameter to control semi-convergence phenomenon. Further, we show the performance of the proposed relaxation parameter using samples taken from tomographic imaging.
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