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• W2006668203 abstract "We develop a stochastic approximation version of the classical Kaczmarz algorithm that is incremental in nature and takes as input noisy real time data. Our analysis shows that with probability one it mimics the behavior of the original scheme: starting from the same initial point, our algorithm and the corresponding deterministic Kaczmarz algorithm converge to precisely the same point. The motivation for this work comes from network tomography where network parameters are to be estimated based upon end-to-end measurements. Numerical examples via Matlab based simulations demonstrate the efficacy of the algorithm." @default.
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• W2006668203 date "2014-03-01" @default.
• W2006668203 modified "2023-09-27" @default.
• W2006668203 title "A stochastic Kaczmarz algorithm for network tomography" @default.
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• W2006668203 doi "https://doi.org/10.1016/j.automatica.2013.12.016" @default.
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