High-Order Deterministic Sensitivity Analysis and Uncertainty Quantification: Review and New Developments
This work reviews the state-of-the-art methodologies for the deterministic sensitivity analysis of nonlinear systems and deterministic quantification of uncertainties induced in model responses by uncertainties in the model parameters. The need for computing high-order sensitivities is underscored b...
Main Author: | Dan Gabriel Cacuci |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-10-01
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Series: | Energies |
Subjects: | |
Online Access: | https://www.mdpi.com/1996-1073/14/20/6715 |
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