Variance-based adaptive sequential sampling for Polynomial Chaos Expansion

Computer Methods in Applied Mechanics and Engineering ◽

10.1016/j.cma.2021.114105 ◽

2021 ◽

Vol 386 ◽

pp. 114105

Author(s):

Lukáš Novák ◽

Miroslav Vořechovský ◽

Václav Sadílek ◽

Michael D. Shields

Keyword(s):

Polynomial Chaos ◽

Sequential Sampling ◽

Polynomial Chaos Expansion ◽

Chaos Expansion

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Efficient Adaptive Sparse Polynomial Chaos Expansion withl1-minimization and Sequential Sampling

AIAA Scitech 2019 Forum ◽

10.2514/6.2019-1226 ◽

2019 ◽

Author(s):

Mishal Thapa ◽

Achyut Paudel ◽

Sameer B. Mulani ◽

Robert W. Walters

Keyword(s):

Polynomial Chaos ◽

Sequential Sampling ◽

Polynomial Chaos Expansion ◽

Chaos Expansion ◽

Sparse Polynomial ◽

Sparse Polynomial Chaos Expansion

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Correction: Efficient Adaptive Sparse Polynomial Chaos Expansion with l1-minimization and Sequential Sampling

AIAA Scitech 2019 Forum ◽

10.2514/6.2019-1226.c1 ◽

2019 ◽

Author(s):

Mishal Thapa ◽

Achyut Paudel ◽

Sameer B. Mulani ◽

Robert W. Walters

Keyword(s):

Polynomial Chaos ◽

Sequential Sampling ◽

Polynomial Chaos Expansion ◽

Chaos Expansion ◽

L1 Minimization ◽

Sparse Polynomial ◽

Sparse Polynomial Chaos Expansion

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ADAPTIVE SEQUENTIAL SAMPLING FOR POLYNOMIAL CHAOS EXPANSION

10.7712/120221.8038.18955 ◽

2021 ◽

Author(s):

Lukáš Novák ◽

Miroslav Vořechovský ◽

Václav Sadílek

Keyword(s):

Polynomial Chaos ◽

Sequential Sampling ◽

Polynomial Chaos Expansion ◽

Chaos Expansion

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A hybrid sequential sampling strategy for sparse polynomial chaos expansion based on compressive sampling and Bayesian experimental design

Computer Methods in Applied Mechanics and Engineering ◽

10.1016/j.cma.2021.114130 ◽

2021 ◽

Vol 386 ◽

pp. 114130

Author(s):

Bei-Yang Zhang ◽

Yi-Qing Ni

Keyword(s):

Experimental Design ◽

Polynomial Chaos ◽

Sequential Sampling ◽

Sampling Strategy ◽

Polynomial Chaos Expansion ◽

Compressive Sampling ◽

Chaos Expansion ◽

Sparse Polynomial ◽

Sparse Polynomial Chaos Expansion

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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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PARAMETER ESTIMATION OF A DISTRIBUTED HYDROLOGICAL MODEL FOR THE IBO RIVER BASIN WITH POLYNOMIAL CHAOS EXPANSION

Journal of Japan Society of Civil Engineers Ser B1 (Hydraulic Engineering) ◽

10.2208/jscejhe.75.2_i_247 ◽

2019 ◽

Vol 75 (2) ◽

pp. I_247-I_252

Author(s):

Putika Ashfar KHOIRI ◽

Masayasu IRIE ◽

Hiroaki TOI ◽

Masahide ISHIZUKA

Keyword(s):

Parameter Estimation ◽

River Basin ◽

Polynomial Chaos ◽

Hydrological Model ◽

Polynomial Chaos Expansion ◽

Chaos Expansion ◽

Distributed Hydrological Model

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Polynomial chaos expansion as a tool to quantify the quality of compact range antenna test chambers under uncertainty

Loughborough Antennas & Propagation Conference 2018 (LAPC 2018) ◽

10.1049/cp.2018.1490 ◽

2018 ◽

Author(s):

R. Wilke ◽

T.M. Gemmer ◽

D. Heberling

Keyword(s):

Polynomial Chaos ◽

Polynomial Chaos Expansion ◽

Chaos Expansion ◽

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Polynomial Chaos Expansion (PCE) Based Surrogate Modeling and Optimization for Batch Crystallization Processes

Computer Aided Chemical Engineering - 24th European Symposium on Computer Aided Process Engineering ◽

10.1016/b978-0-444-63456-6.50095-8 ◽

2014 ◽

pp. 565-570 ◽

Author(s):

Nahid Sanzida ◽

Zoltan K. Nagy

Keyword(s):

Polynomial Chaos ◽

Surrogate Modeling ◽

Polynomial Chaos Expansion ◽

Chaos Expansion ◽

Batch Crystallization ◽

Modeling And Optimization

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A Data-Driven Sparse Polynomial Chaos Expansion Method to Assess Probabilistic Total Transfer Capability for Power Systems with Renewables

IEEE Transactions on Power Systems ◽

10.1109/tpwrs.2020.3034520 ◽

2020 ◽

pp. 1-1

Author(s):

Xiaoting Wang ◽

Xiaozhe Wang ◽

Hao Sheng ◽

Xi Lin

Keyword(s):

Power Systems ◽

Polynomial Chaos ◽

Expansion Method ◽

Polynomial Chaos Expansion ◽

Data Driven ◽

Chaos Expansion ◽

Total Transfer Capability ◽

Sparse Polynomial ◽

Transfer Capability ◽

Sparse Polynomial Chaos Expansion

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