Please use this identifier to cite or link to this item: http://hdl.handle.net/1783.1/3327

Network optimisation - A statistical physics perspective

Authors Wong, K.Y.M.
Saad, D.
Yeung, C.H.
Issue Date 2008
Source Proceedings of the 6th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, WiOpt 2008, 2008, p. 577-582
Summary Inference and optimisation of real-value edge variables in sparse graphs are studied using the tree based Bethe approximation optimisation algorithms. Equilibrium states of general energy functions involving a large set of real edge-variables that interact at the network nodes are obtained for networks in various cases. These include different cost functions, connectivity values, constraints on the edge bandwidth and the case of multiclass optimisation.
Subjects
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Language English
Format Conference paper
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