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A near-optimal sampling strategy for sparse recovery of polynomial chaos expansions
Negin Alemazkoor,
Hadi Meidani
Civil and Environmental Engineering
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Dive into the research topics of 'A near-optimal sampling strategy for sparse recovery of polynomial chaos expansions'. Together they form a unique fingerprint.
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Keyphrases
Sampling Strategy
100%
Near-optimal
100%
Polynomial Chaos Expansion
100%
Sparse Recovery
100%
Optimal Sample Size
100%
Coherence Properties
50%
Sampling Location
50%
Parameter Space
25%
Motivation
25%
Numerical Examples
25%
Design of Experiments Approach
25%
Measurement Matrix
25%
Optimal Sample
25%
Sampling Design
25%
Optimal Sampling
25%
Random Locations
25%
Cost Simulation
25%
Cross-correlation Properties
25%
Compressive Sampling
25%
Local Coherence
25%
Polynomial Chaos Surrogate
25%
Mathematics
Polynomial
100%
Parameter Space
50%
Crosscorrelation
50%
Numerical Example
50%
Matrix Measurement
50%
Experimental Design
50%
Engineering
Sample Location
100%
Parameter Space
50%
Numerical Example
50%
Design of Experiments
50%
Measurement Matrix
50%
Compressive Sampling
50%
Earth and Planetary Sciences
Cross Correlation
100%
Experiment Design
100%