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preprint · 2014

On discrete least square projection in unbounded domain with random evaluations and its application to parametric uncertainty quantification

This work is concerned with approximating multivariate functions in unbounded domain by using discrete least-squares projection with random points evaluation...

6 citationsDOI: https://doi.org/10.48550/arxiv.1403.6579Open accessPDF reported by metadata
On discrete least square projection in unbounded domain with random evaluations and its application to parametric uncertainty quantification