All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

Reduced basis solver for stochastic Galerkin formulation of Darcy flow with uncertain material parameters

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68145535%3A_____%2F23%3A00571877" target="_blank" >RIV/68145535:_____/23:00571877 - isvavai.cz</a>

  • Alternative codes found

    RIV/61989100:27240/23:10257405

  • Result on the web

    <a href="https://dml.cz/bitstream/handle/10338.dmlcz/703184/PANM_21-2022-1_5.pdf" target="_blank" >https://dml.cz/bitstream/handle/10338.dmlcz/703184/PANM_21-2022-1_5.pdf</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.21136/panm.2022.02" target="_blank" >10.21136/panm.2022.02</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Reduced basis solver for stochastic Galerkin formulation of Darcy flow with uncertain material parameters

  • Original language description

    In this contribution, we present a solution to the stochastic Galerkin (SG) matrix equations coming from the Darcy flow problem with uncertain material coefficients in the separable form. The SG system of equations is kept in the compressed tensor form and its solution is a very challenging task. Here, we present the reduced basis (RB) method as a solver which looks for a low-rank representation of the solution. The construction of the RB consists of iterative expanding of the basis using Monte Carlo sampling. We discuss the setting of the sampling procedure and an efficient solution of multiple similar systems emerging during the sampling procedure using deflation. We conclude with a demonstration of the use of SG solution for forward uncertainty quantification.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10102 - Applied mathematics

Result continuities

  • Project

    <a href="/en/project/TK02010118" target="_blank" >TK02010118: Prediction of Excavation Damage Zone properties for safety and reliability of a deep geological repository.</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2023

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Programs and Algorithms of Numerical Mathematics 21 : Proceedings of Seminar

  • ISBN

    978-80-85823-73-8

  • ISSN

  • e-ISSN

  • Number of pages

    10

  • Pages from-to

    15-24

  • Publisher name

    Institute of Mathematics CAS Prague

  • Place of publication

    Praha

  • Event location

    Jablonec nad Nisou

  • Event date

    Jun 19, 2022

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article