The n<sup>th</sup>-Order Comprehensive Adjoint Sensitivity Analysis Methodology for Nonlinear Systems (n<sup>th</sup>-CASAM-N): Mathematical Framework

This work presents the n<sup>th</sup>-Order Comprehensive Adjoint Sensitivity Analysis Methodology for Nonlinear Systems (n<sup>th</sup>-CASAM-N), which enables the most efficient computation of exactly determined expressions of arbitrarily high-order sensitivities of generic...

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Main Author: Dan Gabriel Cacuci
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Journal of Nuclear Engineering
Subjects:
Online Access:https://www.mdpi.com/2673-4362/3/3/10
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author Dan Gabriel Cacuci
author_facet Dan Gabriel Cacuci
author_sort Dan Gabriel Cacuci
collection DOAJ
description This work presents the n<sup>th</sup>-Order Comprehensive Adjoint Sensitivity Analysis Methodology for Nonlinear Systems (n<sup>th</sup>-CASAM-N), which enables the most efficient computation of exactly determined expressions of arbitrarily high-order sensitivities of generic nonlinear system responses with respect to model parameters, uncertain boundaries, and internal interfaces in the model’s phase space. The mathematical framework underlying the n<sup>th</sup>-CASAM-N is proven to be correct by using mathematical induction. The n<sup>th</sup>-CASAM-N is formulated in linearly increasing higher-dimensional Hilbert spaces—as opposed to exponentially increasing parameter-dimensional spaces—thus overcoming the curse of dimensionality in sensitivity analysis of nonlinear systems.
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spelling doaj.art-0abf06aa0b7349d7ba824e7c5a517f292023-11-23T17:08:39ZengMDPI AGJournal of Nuclear Engineering2673-43622022-06-013316319010.3390/jne3030010The n<sup>th</sup>-Order Comprehensive Adjoint Sensitivity Analysis Methodology for Nonlinear Systems (n<sup>th</sup>-CASAM-N): Mathematical FrameworkDan Gabriel Cacuci0Center for Nuclear Science and Energy, University of South Carolina, Columbia, SC 29208, USAThis work presents the n<sup>th</sup>-Order Comprehensive Adjoint Sensitivity Analysis Methodology for Nonlinear Systems (n<sup>th</sup>-CASAM-N), which enables the most efficient computation of exactly determined expressions of arbitrarily high-order sensitivities of generic nonlinear system responses with respect to model parameters, uncertain boundaries, and internal interfaces in the model’s phase space. The mathematical framework underlying the n<sup>th</sup>-CASAM-N is proven to be correct by using mathematical induction. The n<sup>th</sup>-CASAM-N is formulated in linearly increasing higher-dimensional Hilbert spaces—as opposed to exponentially increasing parameter-dimensional spaces—thus overcoming the curse of dimensionality in sensitivity analysis of nonlinear systems.https://www.mdpi.com/2673-4362/3/3/10large-scale nonlinear modelshigh-order sensitivitiesadjoint operatorscurse of dimensionality
spellingShingle Dan Gabriel Cacuci
The n<sup>th</sup>-Order Comprehensive Adjoint Sensitivity Analysis Methodology for Nonlinear Systems (n<sup>th</sup>-CASAM-N): Mathematical Framework
Journal of Nuclear Engineering
large-scale nonlinear models
high-order sensitivities
adjoint operators
curse of dimensionality
title The n<sup>th</sup>-Order Comprehensive Adjoint Sensitivity Analysis Methodology for Nonlinear Systems (n<sup>th</sup>-CASAM-N): Mathematical Framework
title_full The n<sup>th</sup>-Order Comprehensive Adjoint Sensitivity Analysis Methodology for Nonlinear Systems (n<sup>th</sup>-CASAM-N): Mathematical Framework
title_fullStr The n<sup>th</sup>-Order Comprehensive Adjoint Sensitivity Analysis Methodology for Nonlinear Systems (n<sup>th</sup>-CASAM-N): Mathematical Framework
title_full_unstemmed The n<sup>th</sup>-Order Comprehensive Adjoint Sensitivity Analysis Methodology for Nonlinear Systems (n<sup>th</sup>-CASAM-N): Mathematical Framework
title_short The n<sup>th</sup>-Order Comprehensive Adjoint Sensitivity Analysis Methodology for Nonlinear Systems (n<sup>th</sup>-CASAM-N): Mathematical Framework
title_sort n sup th sup order comprehensive adjoint sensitivity analysis methodology for nonlinear systems n sup th sup casam n mathematical framework
topic large-scale nonlinear models
high-order sensitivities
adjoint operators
curse of dimensionality
url https://www.mdpi.com/2673-4362/3/3/10
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