A stochastic Kaczmarz algorithm for network tomography
DSpace at IIT Bombay
View Archive InfoField | Value | |
Title |
A stochastic Kaczmarz algorithm for network tomography
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Creator |
THOPPE, G
BORKAR, V MANJUNATH, D |
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Subject |
Kaczmarz algorithm
Stochastic approximation Network tomography Online algorithm EXPONENTIAL CONVERGENCE MATRICES INFERENCE VOLUMES |
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Description |
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. (C) 2013 Elsevier Ltd. All rights reserved.
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Publisher |
PERGAMON-ELSEVIER SCIENCE LTD
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Date |
2014-12-28T16:41:21Z
2014-12-28T16:41:21Z 2014 |
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Type |
Article
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Identifier |
AUTOMATICA, 50(3)910-914
0005-1098 1873-2836 http://dx.doi.org/10.1016/j.automatica.2013.12.016 http://dspace.library.iitb.ac.in/jspui/handle/100/16910 |
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Language |
English
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