Introducing the n<sup>th</sup>-Order Features Adjoint Sensitivity Analysis Methodology for Nonlinear Systems (n<sup>th</sup>-FASAM-N): I. Mathematical Framework

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ISSN Print: 2161-1203
ISSN Online: 2161-1211
www.scirp.org/journal/ajcm
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"Introducing the n^th-Order Features Adjoint Sensitivity Analysis Methodology for Nonlinear Systems (n^th-FASAM-N): I. Mathematical Framework"
written by Dan Gabriel Cacuci,
published by American Journal of Computational Mathematics, Vol.14 No.1, 2024

has been cited by the following article(s):

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[1]	The nth-order features adjoint sensitivity analysis methodology for response-coupled forward/adjoint linear systems (nth-FASAM-L): I. mathematical framework Frontiers in Energy Research, 2024 DOI:10.3389/fenrg.2024.1417594

[2]	First-Order Comprehensive Adjoint Sensitivity Analysis Methodology for Neural Ordinary Differential Equations: Mathematical Framework and Illustrative Application to the Nordheim–Fuchs Reactor Safety Model Journal of Nuclear Engineering, 2024 DOI:10.3390/jne5030023

[3]	nth-order feature adjoint sensitivity analysis methodology for response-coupled forward/adjoint linear systems: II. Illustrative application to a paradigm energy system Frontiers in Energy Research, 2024 DOI:10.3389/fenrg.2024.1421519

[4]	Introducing the Second-Order Features Adjoint Sensitivity Analysis Methodology for Neural Ordinary Differential Equations—I: Mathematical Framework Processes, 2024 DOI:10.3390/pr12122660

[5]	Introducing the Second-Order Features Adjoint Sensitivity Analysis Methodology for Fredholm-Type Neural Integral Equations Mathematics, 2024 DOI:10.3390/math13010014

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