MOR-Based Approach to Uncertainty Quantification in Electrokinetics With Correlated Random Material Parameters
A strategy for uncertainty quantification in electrokinetic problems with correlated random material parameters is proposed. Such approach exploits a reduced-order model and a polynomial spectral approximation of the deterministic parametric electrokinetic problem for accurately and efficiently esti...
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| Veröffentlicht in: | IEEE transactions on magnetics 2017-06, Vol.53 (6), p.1-4 |
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| container_title | IEEE transactions on magnetics |
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| creator | Codecasa, Lorenzo Di Rienzo, Luca |
| description | A strategy for uncertainty quantification in electrokinetic problems with correlated random material parameters is proposed. Such approach exploits a reduced-order model and a polynomial spectral approximation of the deterministic parametric electrokinetic problem for accurately and efficiently estimating the statistics of the quantities of interest by Monte Carlo analysis. |
| doi_str_mv | 10.1109/TMAG.2017.2666845 |
| format | Article |
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Such approach exploits a reduced-order model and a polynomial spectral approximation of the deterministic parametric electrokinetic problem for accurately and efficiently estimating the statistics of the quantities of interest by Monte Carlo analysis.</description><subject>Approximation</subject><subject>Approximation algorithms</subject><subject>Computer simulation</subject><subject>Correlated random variables</subject><subject>Correlation</subject><subject>Electrokinetics</subject><subject>electrokinetics problem</subject><subject>Estimation</subject><subject>Magnetism</subject><subject>Mathematical models</subject><subject>Monte Carlo methods</subject><subject>Monte Carlo simulation</subject><subject>Parameter uncertainty</subject><subject>parametric model-order reduction (PMOR)</subject><subject>Parametric statistics</subject><subject>Probability density function</subject><subject>Random variables</subject><subject>Reduced order models</subject><subject>Reduced order systems</subject><subject>Spectra</subject><subject>spectral approximation</subject><subject>Statistics</subject><subject>Uncertainty</subject><subject>uncertainty quantification</subject><issn>0018-9464</issn><issn>1941-0069</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kM1PAjEQxRujiYj-AcZLE8-L093uR49IEE0gKIF43Iz9CEXoYlsO_PeWYDxNXvLem5kfIfcMBoyBeFrOhpNBDqwe5FVVNby8ID0mOMsAKnFJegCsyQSv-DW5CWGTJC8Z9IibzRfZMwat6HC_9x3KNY0dXTmpfUTr4pF-HNBFa6zEaDtHraPjrZbRd9_W6WhloJ82rumo815vMaamBTrV7egsCW9xS9_R404nEW7JlcFt0Hd_s09WL-Pl6DWbzidvo-E0k7koYia1UqYpq8KAyDUAQs5AFdIoTHdrIVBqqMuqFnUOTaHQfIFAaIxSBeNMFH3yeO5NL_0cdIjtpjt4l1a2TABvirLmdXKxs0v6LgSvTbv3dof-2DJoT1jbE9b2hLX9w5oyD-eM1Vr_--uGC5bnxS-gCnTX</recordid><startdate>20170601</startdate><enddate>20170601</enddate><creator>Codecasa, Lorenzo</creator><creator>Di Rienzo, Luca</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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| ispartof | IEEE transactions on magnetics, 2017-06, Vol.53 (6), p.1-4 |
| issn | 0018-9464 1941-0069 |
| language | eng |
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| source | IEEE Electronic Library (IEL) |
| subjects | Approximation Approximation algorithms Computer simulation Correlated random variables Correlation Electrokinetics electrokinetics problem Estimation Magnetism Mathematical models Monte Carlo methods Monte Carlo simulation Parameter uncertainty parametric model-order reduction (PMOR) Parametric statistics Probability density function Random variables Reduced order models Reduced order systems Spectra spectral approximation Statistics Uncertainty uncertainty quantification |
| title | MOR-Based Approach to Uncertainty Quantification in Electrokinetics With Correlated Random Material Parameters |
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