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pro vyhledávání: '"Tejedor, Vincent"'
Autor:
Tejedor, Vincent
Finding a local minimum or maximum of a function is often achieved through the gradient-descent optimization method. For a function in dimension d, the gradient requires to compute at each step d partial derivatives. This method is for instance used
Externí odkaz:
http://arxiv.org/abs/1801.04532
Autor:
Tejedor, Vincent
We develop a model to compute the first-passage time of a random walker in a crowded environment. Hard-core particles with the same size and diffusion coefficient than the tracer diffuse, and the model allows to compute the first passage time of the
Externí odkaz:
http://arxiv.org/abs/1702.07394
Autor:
Tejedor, Vincent
Les propriétés de premier passage en général, et parmi elles le temps moyen de premier passage (MFPT), sont fréquemment utilisées dans les processus limités par la diffusion. Les processus réels de diffusion ne sont pas toujours Browniens : d
Externí odkaz:
http://tel.archives-ouvertes.fr/tel-00721294
http://tel.archives-ouvertes.fr/docs/00/72/12/94/PDF/PhD_plan.pdf
http://tel.archives-ouvertes.fr/docs/00/72/12/94/PDF/PhD_plan.pdf
We derive a functional equation for the mean first-passage time (MFPT) of a generic self-similar Markovian continuous process to a target in a one-dimensional domain and obtain its exact solution. We show that the obtained expression of the MFPT for
Externí odkaz:
http://arxiv.org/abs/1103.4961
We develop an analytical approach which provides the dependence of the mean first-passage time (MFPT) for random walks on complex networks both on the target connectivity and on the source-target distance. Our approach puts forward two strongly diffe
Externí odkaz:
http://arxiv.org/abs/1102.4975
Autor:
Jeon, Jae-Hyung, Tejedor, Vincent, Burov, Stas, Barkai, Eli, Selhuber-Unkel, Christine, Berg-Sorensen, Kirstine, Oddershede, Lene, Metzler, Ralf
Combining extensive single particle tracking microscopy data of endogenous lipid granules in living fission yeast cells with analytical results we show evidence for anomalous diffusion and weak ergodicity breaking. Namely we demonstrate that at short
Externí odkaz:
http://arxiv.org/abs/1010.0347
We introduce a general framework, applicable to a broad class of random walks on networks, that quantifies the response of the mean first-passage time to a target node to a local perturbation of the network, both in the context of attacks (damaged li
Externí odkaz:
http://arxiv.org/abs/1009.1551
Autor:
Tejedor, Vincent, Benichou, Olivier, Voituriez, Raphael, Jungmann, Ralf, Simmel, Friedrich, Selhuber-Unkel, Christine, Oddershede, Lene B., Metzler, Ralf
An increasing number of experimental studies employ single particle tracking to probe the physical environment in complex systems. We here propose and discuss new methods to analyze the time series of the particle traces, in particular, for subdiffus
Externí odkaz:
http://arxiv.org/abs/1001.4412
Autor:
Tejedor, Vincent, Metzler, Ralf
We demonstrate that continuous time random walks in which successive waiting times are correlated by Gaussian statistics lead to anomalous diffusion with mean squared displacement ~t^{2/3}. Long-ranged correlations of the waiting times with p
Externí odkaz:
http://arxiv.org/abs/0910.1194
Autor:
Tejedor, Vincent
First-passage properties in general, and the mean first-passage time (MFPT) in particular, are widely used in the context of diffusion-limited processes. Real processes are not always purely Brownian: in the last few years, non-Brownian behaviors hav
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______518::937f823ce9552abb752d9e6c75ae398d
https://mediatum.ub.tum.de/1107769
https://mediatum.ub.tum.de/1107769