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PE
2000
Springer
101views Optimization» more  PE 2000»
15 years 1 months ago
On the convergence of the power series algorithm
In this paper we study the convergence properties of the power series algorithm, which is a general method to determine (functions of) stationary distributions of Markov chains. W...
Gerard Hooghiemstra, Ger Koole
EOR
2010
101views more  EOR 2010»
15 years 1 months ago
Random yield supply chain with a yield dependent secondary market
Random yield affects production decisions and performances of all parties in a supply chain. We study a simple supply chain with one supplier and one retailer where there is rando...
Yuanjie He, Jiang Zhang
NIPS
2008
15 years 2 months ago
The Infinite Factorial Hidden Markov Model
We introduce a new probability distribution over a potentially infinite number of binary Markov chains which we call the Markov Indian buffet process. This process extends the IBP...
Jurgen Van Gael, Yee Whye Teh, Zoubin Ghahramani
WSC
2001
15 years 2 months ago
Supply chain agent decision aid system (SCADAS)
Supply chain decisions are improved with access to global information. However, supply chain partners are frequently hesitant to provide full access to all the information within ...
Anurag Gupta, Larry Whitman, Ramesh K. Agarwal
CDC
2008
IEEE
184views Control Systems» more  CDC 2008»
15 years 7 months ago
Almost sure convergence to consensus in Markovian random graphs
— In this paper we discuss the consensus problem for a network of dynamic agents with undirected information flow and random switching topologies. The switching is determined by...
Ion Matei, Nuno C. Martins, John S. Baras