Compressible fluid motion with uncertain data

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985840%3A_____%2F22%3A00560367" target="_blank" >RIV/67985840:_____/22:00560367 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1007/s00021-022-00727-x" target="_blank" >https://doi.org/10.1007/s00021-022-00727-x</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s00021-022-00727-x" target="_blank" >10.1007/s00021-022-00727-x</a>

Result language
angličtina
Original language name
Compressible fluid motion with uncertain data
Original language description
We propose a suitable analytical framework to perform numerical analysis of problems arising in compressible fluid models with uncertain data. We discuss both weak and strong stochastic approach, where the former is based on the knowledge of the mere distribution (law) of the random data typical for the Monte-Carlo and related methods, while the latter assumes the data to be known as a random variable on a given probability space aiming at obtaining the associated solution in the same form. As an example of the strong approach, we discuss the stochastic collocation method based on a piecewise constant approximation of the random data.
Czech name
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Czech description
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Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10101 - Pure mathematics

Project
<a href="/en/project/GA21-02411S" target="_blank" >GA21-02411S: Solving ill posed problems in the dynamics of compressible fluids</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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