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In this paper, we review the different dimensions of supply chain resilience and propose that supply chain resilience should be measured in a more integrated way. We review the quantitative economic m...
This special session deals with the problem of Supply Chain Planning evolving on uncertain and disruptive environments. Supply Chain, viewed as a network of facilities, is a complex system highly infl...
We consider decision problems on finite sets of hypotheses represented by pairwise different shift-invariant states on a quantum spin chain. The decision in favor of one of the hypotheses is based on ...
We consider a symmetric random walk on a connected graph, where each edge is labeled with the probability of transition between the two adjacent vertices. The associated Markov chain has a uniform equ...
We consider a random walk on a path with n nodes, with symmetric transition probabilities, i.e., the probability of making a transition between node i and node i+1 is the same as making a transition f...
We show how to exploit symmetries of a graph to efficiently compute the fastest mixing Markov chain on the graph (i.e., find the transition probabilities on the edges to minimize the second-largest ei...
From shuffling cards to walking around the building:An Inetroduction to modern markov chain theory。
Fastest Mixing Markov Chain on a Graph     Mix  markov chain  figure       2015/7/8
Fastest Mixing Markov Chain on a Graph。
This paper gives sharp rates of convergence to stationarity for a Markov chain generating Bose-Einstein configurations of n balls in k boxes. The analysis leads to curious identities for the arc...
We consider the problem of assigning transition probabilities to the edges of a path, so the resulting Markov chain or random walk mixes as rapidly as possible. In this note we prove that fastest mixi...
The Markov Chain Monte Carlo Revolution。
This paper offers a personal review of some things we’ve learned about rates of convergence of Markov chains to their stationary distributions. The main topic is ways of speeding up diffusive behavior...
de Finetti Priors using Markov chain Monte Carlo computations。
Functional relations and Bethe Ansatz for the open XXZ chain.

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