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Butterfly diffusion over sparse point sets

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21340%2F24%3A00376566" target="_blank" >RIV/68407700:21340/24:00376566 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1016/j.physa.2024.129893" target="_blank" >https://doi.org/10.1016/j.physa.2024.129893</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.physa.2024.129893" target="_blank" >10.1016/j.physa.2024.129893</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Butterfly diffusion over sparse point sets

  • Original language description

    The graph -based random walk model of fractal diffusion is limited in its use to the connected sets and does not allow for direct fractal dimension estimation based on observed data. We discuss a task of directly obtaining accurate fractal dimension estimates and propose butterfly diffusion as an alternative approach using an explicit relation between walk and fractal dimensions. The validity of the presented approach is evaluated and statistical properties of the dimension estimates are presented. Through experiments on self -similar sets, we demonstrate the effectiveness of this approach in producing unbiased dimension estimates, offering a promising tool for fractal analysis and Monte Carlo simulations. The estimate of fractal dimension can be also created from spectral dimension, but this approach is less general and less accurate.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10103 - Statistics and probability

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2024

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Physica A: Statistical Mechanics and Its Applications

  • ISSN

    0378-4371

  • e-ISSN

    1873-2119

  • Volume of the periodical

    646

  • Issue of the periodical within the volume

    7

  • Country of publishing house

    NL - THE KINGDOM OF THE NETHERLANDS

  • Number of pages

    9

  • Pages from-to

  • UT code for WoS article

    001259053300001

  • EID of the result in the Scopus database

    2-s2.0-85196141248