Uncertainty Quantification of Stochastic Epidemic SIR Models Using B-spline Polynomial Chaos

Regular and Chaotic Dynamics ◽

10.1134/s1560354721010020 ◽

2021 ◽

Vol 26 (1) ◽

pp. 22-38

Author(s):

Navjot Kaur ◽

Kavita Goyal

Keyword(s):

Uncertainty Quantification ◽

Polynomial Chaos ◽

B Spline ◽

Stochastic Epidemic ◽

Spline Polynomial

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An adaptive wavelet optimized finite difference B-spline polynomial chaos method for random partial differential equations

Applied Mathematics and Computation ◽

10.1016/j.amc.2021.126738 ◽

2022 ◽

Vol 415 ◽

pp. 126738

Author(s):

Navjot Kaur ◽

Kavita Goyal

Keyword(s):

Partial Differential Equations ◽

Finite Difference ◽

Differential Equations ◽

Polynomial Chaos ◽

Partial Differential ◽

Adaptive Wavelet ◽

B Spline ◽

Random Partial Differential Equations ◽

Spline Polynomial

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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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Non-intrusive polynomial chaos methods for uncertainty quantification in wave problems at high frequencies

Journal of Computational Science ◽

10.1016/j.jocs.2021.101344 ◽

2021 ◽

pp. 101344

Author(s):

Nabil El Mocayd ◽

M Shadi Mohamed ◽

Mohammed Seaid

Keyword(s):

Uncertainty Quantification ◽

Polynomial Chaos ◽

High Frequencies ◽

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Efficient sampling for polynomial chaos‐based uncertainty quantification and sensitivity analysis using weighted approximate Fekete points

International Journal for Numerical Methods in Biomedical Engineering ◽

10.1002/cnm.3395 ◽

2020 ◽

Vol 36 (11) ◽

Author(s):

Kyle M. Burk ◽

Akil Narayan ◽

Joseph A. Orr

Keyword(s):

Sensitivity Analysis ◽

Uncertainty Quantification ◽

Polynomial Chaos ◽

Fekete Points ◽

Efficient Sampling

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Uncertainty Quantification and Missing Data for Turbomachinery With Probabilistic Equivalence and Arbitrary Polynomial Chaos, Applied to Scroll Compressors

10.1115/1.0002828v ◽

2021 ◽

Author(s):

Nick Pepper ◽

Francesco Montomoli ◽

Sanjiv Sharma ◽

Francesco Giacomel ◽

Michele Pinelli ◽

...

Keyword(s):

Missing Data ◽

Uncertainty Quantification ◽

Polynomial Chaos ◽

Arbitrary Polynomial

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Data-Driven Multi-Element Arbitrary Polynomial Chaos for Uncertainty Quantification in Sensors

IEEE Transactions on Magnetics ◽

10.1109/tmag.2017.2741519 ◽

2018 ◽

Vol 54 (3) ◽

pp. 1-4 ◽

Author(s):

Osama Alkhateeb ◽

Nathan Ida

Keyword(s):

Uncertainty Quantification ◽

Polynomial Chaos ◽

Data Driven ◽

Arbitrary Polynomial

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Non-intrusive Uncertainty Quantification by Combination of Reduced Basis Method and Regression-based Polynomial Chaos Expansion

Uncertainty Management for Robust Industrial Design in Aeronautics - Notes on Numerical Fluid Mechanics and Multidisciplinary Design ◽

10.1007/978-3-319-77767-2_10 ◽

2018 ◽

pp. 169-184

Author(s):

Mehrdad Raisee ◽

Dinesh Kumar ◽

Chris Lacor

Keyword(s):

Uncertainty Quantification ◽

Polynomial Chaos ◽

Polynomial Chaos Expansion ◽

Reduced Basis Method ◽

Chaos Expansion ◽

Reduced Basis ◽

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Mixed epistemic-aleatory uncertainty quantification using reduced dimensional polynomial chaos and parametric ANOVA

2017 IEEE 26th Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS) ◽

10.1109/epeps.2017.8329716 ◽

2017 ◽

Author(s):

Aditi K. Prasad ◽

Sourajeet Roy

Keyword(s):

Uncertainty Quantification ◽

Polynomial Chaos ◽

Aleatory Uncertainty

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