Results 21 to 30 of about 1,809,097 (279)

Random walks with barriers [PDF]

open access: yesNature Physics, 2011
Restrictions to molecular motion by barriers (membranes) are ubiquitous in porous media, composite materials and biological tissues. A major challenge is to characterize the microstructure of a material or an organism nondestructively using a bulk transport measurement.
Novikov, Dmitry S.   +3 more
openaire   +2 more sources

Multifractal random walk [PDF]

open access: yesPhysical Review E, 2001
We introduce a class of multifractal processes, referred to as Multifractal Random Walks (MRWs). To our knowledge, it is the first multifractal processes with continuous dilation invariance properties and stationary increments. MRWs are very attractive alternative processes to classical cascade-like multifractal models since they do not involve any ...
Bacry, Emmanuel, Delour, J., Muzy, J. F.
openaire   +4 more sources

Continuous-time random walks and Lévy walks with stochastic resetting

open access: yesPhysical Review Research, 2020
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
doaj   +1 more source

Random walk on random walks

open access: yesElectronic Journal of Probability, 2015
42 pages, 6 ...
Hilário, M.R.   +4 more
openaire   +8 more sources

Random Walk on the Range of Random Walk [PDF]

open access: yesJournal of Statistical Physics, 2009
We study the random walk $X$ on the range of a simple random walk on $\mathbb{Z}^d$ in dimensions $d\geq 4$. When $d\geq 5$ we establish quenched and annealed scaling limits for the process $X$, which show that the intersections of the original simple random walk path are essentially unimportant.
openaire   +4 more sources

Quantum walk neural networks with feature dependent coins

open access: yesApplied Network Science, 2019
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
doaj   +1 more source

Dirichlet Random Walks [PDF]

open access: yesJournal of Applied Probability, 2014
This paper provides tools for the study of the Dirichlet random walk in Rd. We compute explicitly, for a number of cases, the distribution of the random variable W using a form of Stieltjes transform of W instead of the Laplace transform, replacing the Bessel functions with hypergeometric functions. This enables us to simplify some existing results, in
G. Letac, PICCIONI, MAURO
openaire   +6 more sources

Rate of Escape of Random Walks on Regular Languages and Free Products by Amalgamation of Finite Groups [PDF]

open access: yesDiscrete Mathematics & Theoretical Computer Science, 2008
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
doaj   +1 more source

Greedy Random Walk [PDF]

open access: yesCombinatorics, Probability and Computing, 2013
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.
openaire   +4 more sources

A Note on k-Bonacci Random Walks

open access: yesFractal and Fractional, 2023
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
doaj   +1 more source

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