Surrogate modeling of high-dimensional problems via data-driven polynomial chaos expansions and sparse partial least square

Research article (Computer Methods in Applied Mechanics and Engineering, 2020) · cited 51× · AI/ML
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Surrogate modeling of high-dimensional problems via data-driven polynomial chaos expansions and sparse partial least square

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Surrogate modeling of high-dimensional problems via data-driven polynomial chaos expansions and sparse partial least square is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Surrogate modeling of high-dimensional problems via data-driven polynomial chaos expansions and sparse partial least square. Retrieved May 24, 2026, from https://4ort.xyz/entity/surrogate-modeling-of-high-dimensional-problems-via-data-driven-polynomial-chaos-expansions-and-sparse-partial-least-squ
MLA “Surrogate modeling of high-dimensional problems via data-driven polynomial chaos expansions and sparse partial least square.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/surrogate-modeling-of-high-dimensional-problems-via-data-driven-polynomial-chaos-expansions-and-sparse-partial-least-squ.
BibTeX @misc{4ortxyz_surrogate-modeling-of-high-dimensional-problems-via-data-driven-polynomial-chaos-expansions-and-sparse-partial-least-squ_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Surrogate modeling of high-dimensional problems via data-driven polynomial chaos expansions and sparse partial least square}}, year = {2026}, url = {https://4ort.xyz/entity/surrogate-modeling-of-high-dimensional-problems-via-data-driven-polynomial-chaos-expansions-and-sparse-partial-least-squ}, note = {Accessed: 2026-05-24}}
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