The First- and Second-Order Features Adjoint Sensitivity Analysis Methodologies for Neural Integro-Differential Equations of Volterra Type: Mathematical Framework and Illustrative Application to a Nonlinear Heat Conduction Model

This work presents the mathematical frameworks of the “First-Order Features Adjoint Sensitivity Analysis Methodology for Neural Integro-Differential Equations of Volterra-Type” (1st-FASAM-NIDE-V) and the “Second-Order Features Adjoint Sensitivity Analysis Methodology for Neural Integro-Differential...

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Autor principal:	Dan Gabriel Cacuci
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2025-07-01
coleção:	Journal of Nuclear Engineering
Assuntos:	neural integral equations nonlinear Volterra-type neural integro-differential equations first-order features adjoint sensitivity analysis methodology second-order features adjoint sensitivity analysis methodology
Acesso em linha:	https://www.mdpi.com/2673-4362/6/3/24
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