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Current Trends in Random Walks on Random Lattices
In a classical random walk model, a walker moves through a deterministic d-dimensional integer lattice in one step at a time, without drifting in any direction.
Jewgeni H. Dshalalow, Ryan T. White
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We study a discrete time self-interacting random process on graphs, which we call greedy random walk. The walker is located initially at some vertex. As time evolves, each vertex maintains the set of adjacent edges touching it that have not yet been crossed by the walker.
Orenshtein T., Shinkar I.
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Osculating Random Walks on Cylinders [PDF]
We consider random paths on a square lattice which take a left or a right turn at every vertex. The possible turns are taken with equal probability, except at a vertex which has been visited before.
Saibal Mitra, Bernard Nienhuis
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Continuous-time random walks and Lévy walks with stochastic resetting
Intermittent stochastic processes appear in a wide field, such as chemistry, biology, ecology, and computer science. This paper builds up the theory of intermittent continuous-time random walk (CTRW) and Lévy walk, in which the particles are ...
Tian Zhou, Pengbo Xu, Weihua Deng
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42 pages, 6 ...
Hilário, M.R. +4 more
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Rate of Escape of Random Walks on Regular Languages and Free Products by Amalgamation of Finite Groups [PDF]
We consider random walks on the set of all words over a finite alphabet such that in each step only the last two letters of the current word may be modified and only one letter may be adjoined or deleted.
Lorenz A. Gilch
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Quantum walk neural networks with feature dependent coins
Recent neural networks designed to operate on graph-structured data have proven effective in many domains. These graph neural networks often diffuse information using the spatial structure of the graph.
Stefan Dernbach +4 more
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We introduce a new type of random walk where the definition of edge reinforcement is very different from the one in the reinforced random walk models studied so far, and investigate its basic properties, such as null/positive recurrence, transience, and speed. Two basic cases will be dubbed "impatient" and"ageing" random walks.
János Engländer, Stanislav Volkov
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Maximal dispersion of adaptive random walks
Maximum entropy random walks (MERWs) are maximally dispersing and play a key role in optimizing information spreading in various contexts. However, building MERWs comes at the cost of knowing beforehand the global structure of the network, a requirement ...
Gabriele Di Bona +3 more
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A Note on k-Bonacci Random Walks
In this work, the probability of return for random walks on Z, whose increment is given by the k-bonacci sequence, is determined. Additionally, the Hausdorff, packing and box-counting dimensions of the set of these walks that return an infinite number of
Najmeddine Attia +3 more
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