Please use this identifier to cite or link to this item: https://idr.nitk.ac.in/jspui/handle/123456789/8458
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dc.contributor.authorBorkar, V.S.
dc.contributor.authorNair, J.
dc.contributor.authorSanketh, N.
dc.date.accessioned2020-03-30T10:18:45Z-
dc.date.available2020-03-30T10:18:45Z-
dc.date.issued2010
dc.identifier.citation2010 48th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2010, 2010, Vol., , pp.1550-1555en_US
dc.identifier.urihttp://idr.nitk.ac.in/jspui/handle/123456789/8458-
dc.description.abstractA scheme for consensus formation is considered wherein the value of a certain variable associated with the nodes of a network is fixed a priori for a prescribed set of K nodes, and allowed to propagate throughout the network through an averaging process that mimics a gossip algorithm. The objective is to find the best choice of these K nodes that will achieve the fastest convergence to consensus. This objective is captured by the Perron-Frobenius eigenvalue of the resultant sub-stochastic matrix, which then is the quantity one seeks to minimize. We propose an algorithm for this optimization problem, as well as a greedy scheme with some performance guarantees for a variant of the problem that seeks to minimize a simpler objective. Some other related formulations are also considered. �2010 IEEE.en_US
dc.titleManufacturing consenten_US
dc.typeBook chapteren_US
Appears in Collections:2. Conference Papers

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