ALEKSANDER WERON PDF

Aleksander Weron of Wroclaw University of Science and Technology, Wrocław ( WUT) with expertise in: Biophysics and Probability Theory. Read Details about Aleksander Weron. Homepage: ~weron/. Workplace Access statistics for papers by Aleksander Weron. Last updated. Aleksander Weron is the author of Inżynieria finansowa ( avg rating, 0 ratings, 0 reviews, published ), Probability Theory on Vector Spaces ( a.

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J Chem Phys Jul; 4: Probability theory and related fields 79 1, Epub Oct Skip to search form Skip to main content. Werner Linde Verified email at udel.

Aleksander Weron – Google Scholar Citations

Epub Aug Phys Rev Lett Nov 18; New articles related to this author’s research. Numerical approach to the fractional Klein-Kramers equation.

Akin Yale University Verified email at Yale. Aleksander Weron Marcin Magdziarz.

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Epub Jun Sci Rep Jun 11;5: Epub Feb By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy PolicyTerms of Serviceand Dataset License. PLoS One 13;10 2: Guidelines for the fitting of anomalous diffusion mean square displacement graphs from single particle tracking experiments.

Epub Jan This “Cited by” count includes citations to the following articles in Scholar. Epub May 7. Get my own profile Cited by View all All Since Citations h-index 32 22 iindex 72 Register this Author 25 Publications.

The resulting components completely described by both deterministic kernels and the corresponding … More. In this paper we attack the challenging problem of modeling subdiffusion with an arbitrary space-time-dependent driving.

Aleksander Weron – Citations Google Scholar

Joanna Janczura Aleksander Weron. New articles by this author. Overshooting and undershooting subordination scenario for fractional two-power-law relaxation responses. Identifying ergodicity breaking for fractional anomalous diffusion: In this paperwe study ergodic properties of some classes of anomalous diffusion processes.

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Criteria wero minimal trajectory length. Phys Rev E 04 19; Epub Jul Estimating the anomalous diffusion exponent for single particle tracking data with measurement errors – An alternative approach. Mathematics and Economics 20 2, Universal algorithm for identification of fractional Brownian motion.

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