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Efficient forward and inverse uncertainty quantification for dynamical systems based on dimension reduction and Kriging surrogate modeling in functional space
Research article (Mechanical Systems and Signal Processing, 2025) · cited 10× · AI/ML
Efficient forward and inverse uncertainty quantification for dynamical systems based on dimension reduction and Kriging surrogate modeling in functional space
Summary
Efficient forward and inverse uncertainty quantification for dynamical systems based on dimension reduction and Kriging surrogate modeling in functional space is a scholarly article[1].
Key Facts
Efficient forward and inverse uncertainty quantification for dynamical systems based on dimension reduction and Kriging surrogate modeling in functional space's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Efficient forward and inverse uncertainty quantification for dynamical systems based on dimension reduction and Kriging surrogate modeling in functional space. Retrieved May 24, 2026, from https://4ort.xyz/entity/efficient-forward-and-inverse-uncertainty-quantification-for-dynamical-systems-based-on-dimension-reduction-and-kriging-
MLA“Efficient forward and inverse uncertainty quantification for dynamical systems based on dimension reduction and Kriging surrogate modeling in functional space.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/efficient-forward-and-inverse-uncertainty-quantification-for-dynamical-systems-based-on-dimension-reduction-and-kriging-.
BibTeX@misc{4ortxyz_efficient-forward-and-inverse-uncertainty-quantification-for-dynamical-systems-based-on-dimension-reduction-and-kriging-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Efficient forward and inverse uncertainty quantification for dynamical systems based on dimension reduction and Kriging surrogate modeling in functional space}}, year = {2026}, url = {https://4ort.xyz/entity/efficient-forward-and-inverse-uncertainty-quantification-for-dynamical-systems-based-on-dimension-reduction-and-kriging-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Efficient forward and inverse uncertainty quantification for dynamical systems based on dimension reduction and Kriging surrogate modeling in functional space — https://4ort.xyz/entity/efficient-forward-and-inverse-uncertainty-quantification-for-dynamical-systems-based-on-dimension-reduction-and-kriging- (retrieved 2026-05-24)
