Efficient Methods for Uncertainty Quantification
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F13%3A00210257" target="_blank" >RIV/68407700:21110/13:00210257 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Efficient Methods for Uncertainty Quantification
Original language description
An extensive development of efficient methods for stochastic modelling enabled uncertainty propagation through complex models. In this contribution, we present a review and comparison of several approaches such as stochastic Galerkin method, stochastic collocation method or polynomial regression based on Latin Hypercube Sampling.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JM - Structural engineering
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 4th Conference Nano & Macro Mechanics
ISBN
978-80-01-05332-4
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
91-98
Publisher name
Czech Technical University in Prague
Place of publication
Praha
Event location
Prague
Event date
Sep 19, 2013
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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