Embedded Uncertainty Quantification Methods via Stokhos

Handbook of Uncertainty Quantification ◽

10.1007/978-3-319-12385-1_55 ◽

2017 ◽

pp. 1765-1806

Author(s):

Eric T. Phipps ◽

Andrew G. Salinger

Keyword(s):

Uncertainty Quantification

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Parameter Estimation and Uncertainty Quantification in Water Resources Modeling

10.3389/978-2-88963-674-7 ◽

2020 ◽

Keyword(s):

Parameter Estimation ◽

Water Resources ◽

Uncertainty Quantification

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UNCERTAINTY QUANTIFICATION TOWARDS FILTERING OPTIMIZATION IN SCENE MATCHING AIDED NAVIGATION SYSTEMS

International Journal for Uncertainty Quantification ◽

10.1615/int.j.uncertaintyquantification.2016016561 ◽

2016 ◽

Vol 6 (2) ◽

pp. 127-140

Author(s):

Shengdi Zhang ◽

Xiaojun Duan ◽

Lijun Peng

Keyword(s):

Uncertainty Quantification ◽

Navigation Systems ◽

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INVERSE UNCERTAINTY QUANTIFICATION OF A CELL MODEL USING A GAUSSIAN PROCESS METAMODEL

International Journal for Uncertainty Quantification ◽

10.1615/int.j.uncertaintyquantification.2020033186 ◽

2020 ◽

Vol 10 (4) ◽

pp. 333-349

Author(s):

Kevin de Vries ◽

Anna Nikishova ◽

Benjamin Czaja ◽

Gábor Závodszky ◽

Alfons G. Hoekstra

Keyword(s):

Gaussian Process ◽

Uncertainty Quantification ◽

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UNCERTAINTY QUANTIFICATION FOR NATURAL CONVECTION IN RANDOM POROUS MEDIA WITH INTRUSIVE POLYNOMIAL CHAOS EXPANSION

Journal of Porous Media ◽

10.1615/jpormedia.2020033288 ◽

2020 ◽

Vol 23 (7) ◽

pp. 641-661

Author(s):

Changwei Jiang ◽

Yi Jiang ◽

Er Shi

Keyword(s):

Porous Media ◽

Natural Convection ◽

Uncertainty Quantification ◽

Polynomial Chaos ◽

Polynomial Chaos Expansion ◽

Chaos Expansion ◽

Random Porous Media

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Uncertainty Quantification of Transonic Nozzle Flow by Polynomial Chaos Expansion

JOURNAL OF THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES ◽

10.2322/jjsass.65.151 ◽

2017 ◽

Vol 65 (4) ◽

pp. 151-156

Author(s):

Koji MIYAJI ◽

Tota UENO ◽

Yasumi KAWAMURA

Keyword(s):

Uncertainty Quantification ◽

Polynomial Chaos ◽

Polynomial Chaos Expansion ◽

Nozzle Flow ◽

Chaos Expansion

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Generalized Polynomial Chaos Based Stochastic Collocation on the Uncertainty Quantification of CMOS Active Filter Circuits

2019 11th International Conference on Electrical and Electronics Engineering (ELECO) ◽

10.23919/eleco47770.2019.8990660 ◽

2019 ◽

Author(s):

Mecit Emre Duman ◽

Onder Suvak

Keyword(s):

Uncertainty Quantification ◽

Polynomial Chaos ◽

Active Filter ◽

Stochastic Collocation ◽

Generalized Polynomial Chaos ◽

Generalized Polynomial

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Statistical Sample Size Determination for Uncertainty Quantification and Error Control in Validation of Simulation Experiments

50th AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition ◽

10.2514/6.2012-626 ◽

2012 ◽

Author(s):

John Doty

Keyword(s):

Sample Size ◽

Uncertainty Quantification ◽

Error Control ◽

Sample Size Determination ◽

Size Determination ◽

Simulation Experiments ◽

Statistical Sample

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Computational Effort vs. Accuracy Tradeoff in Uncertainty Quantification

16th AIAA Non-Deterministic Approaches Conference ◽

10.2514/6.2014-1178 ◽

2014 ◽

Author(s):

Joshua G. Mullins ◽

Sankaran Mahadevan

Keyword(s):

Uncertainty Quantification ◽

Computational Effort ◽

Accuracy Tradeoff

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Robust Decision Making Applied to the NASA Multidisciplinary Uncertainty Quantification Challenge Problem

16th AIAA Non-Deterministic Approaches Conference ◽

10.2514/6.2014-1350 ◽

2014 ◽

Author(s):

Kendra L. Van Buren ◽

Francois M. Hemez

Keyword(s):

Decision Making ◽

Uncertainty Quantification ◽

Robust Decision Making

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Finite-Dimensional Density Representation for Aerocapture Uncertainty Quantification

AIAA Scitech 2021 Forum ◽

10.2514/6.2021-0932 ◽

2021 ◽

Author(s):

Samuel W. Albert ◽

Alireza Doostan ◽

Hanspeter Schaub

Keyword(s):

Uncertainty Quantification ◽

Finite Dimensional

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