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A Bayesian approach to the identification problem with given material interfaces in the darcy flow

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F18%3A10239974" target="_blank" >RIV/61989100:27240/18:10239974 - isvavai.cz</a>

  • Alternative codes found

    RIV/68145535:_____/18:00495898 RIV/61989100:27740/18:10239974

  • Result on the web

    <a href="https://doi.org/10.1007/978-3-319-97136-0_15" target="_blank" >https://doi.org/10.1007/978-3-319-97136-0_15</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-319-97136-0_15" target="_blank" >10.1007/978-3-319-97136-0_15</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    A Bayesian approach to the identification problem with given material interfaces in the darcy flow

  • Original language description

    The contribution focuses on the estimation of material parameters on subdomains with given material interfaces in the Darcy flow problem. For the estimation, we use the Bayesian approach, which incorporates the natural uncertainty of measurements. The main interest of this contribution is to describe the posterior distribution of material parameters using samples generated by the Metropolis-Hastings method. This method requires a large number of direct problem solutions, which is time-consuming. We propose a combination of the standard direct solutions with sampling from the stochastic Galerkin method (SGM) solution. The SGM solves the Darcy flow problem with random parameters as additional problem dimensions. This leads to the solution in the form of a function of both random variables and space variables, which is computationally expensive to obtain, but the samples are very cheap. The resulting sampling procedure is applied to a model groundwater flow inverse problem as an alternative to the existing deterministic approach. (C) Springer International Publishing AG, part of Springer Nature 2018.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10103 - Statistics and probability

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2018

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Volume 11087

  • ISBN

    978-3-319-97135-3

  • ISSN

    0302-9743

  • e-ISSN

    1611-3349

  • Number of pages

    14

  • Pages from-to

    203-216

  • Publisher name

    Springer

  • Place of publication

    Cham

  • Event location

    Karolinka

  • Event date

    May 22, 2017

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article