Advances in High-Order Sensitivity Analysis for Uncertainty Quantification and Reduction in Nuclear Energy Systems

The computational models of physical systems comprise parameters, independent and dependent variables [...]

Bibliographic Details
Main Author: Dan Gabriel Cacuci
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Energies
Subjects:
n/a
Online Access:https://www.mdpi.com/1996-1073/15/17/6466
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author Dan Gabriel Cacuci
author_facet Dan Gabriel Cacuci
author_sort Dan Gabriel Cacuci
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description The computational models of physical systems comprise parameters, independent and dependent variables [...]
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spelling doaj.art-45cf1b7d40ba4e8fb87d73a2ab6e065c2023-11-23T13:06:39ZengMDPI AGEnergies1996-10732022-09-011517646610.3390/en15176466Advances in High-Order Sensitivity Analysis for Uncertainty Quantification and Reduction in Nuclear Energy SystemsDan Gabriel Cacuci0Center for Nuclear Science and Energy, University of South Carolina, Columbia, SC 29208, USAThe computational models of physical systems comprise parameters, independent and dependent variables [...]https://www.mdpi.com/1996-1073/15/17/6466n/a
spellingShingle Dan Gabriel Cacuci
Advances in High-Order Sensitivity Analysis for Uncertainty Quantification and Reduction in Nuclear Energy Systems
Energies
n/a
title Advances in High-Order Sensitivity Analysis for Uncertainty Quantification and Reduction in Nuclear Energy Systems
title_full Advances in High-Order Sensitivity Analysis for Uncertainty Quantification and Reduction in Nuclear Energy Systems
title_fullStr Advances in High-Order Sensitivity Analysis for Uncertainty Quantification and Reduction in Nuclear Energy Systems
title_full_unstemmed Advances in High-Order Sensitivity Analysis for Uncertainty Quantification and Reduction in Nuclear Energy Systems
title_short Advances in High-Order Sensitivity Analysis for Uncertainty Quantification and Reduction in Nuclear Energy Systems
title_sort advances in high order sensitivity analysis for uncertainty quantification and reduction in nuclear energy systems
topic n/a
url https://www.mdpi.com/1996-1073/15/17/6466
work_keys_str_mv AT dangabrielcacuci advancesinhighordersensitivityanalysisforuncertaintyquantificationandreductioninnuclearenergysystems