1980
DOI: 10.13182/nse75-88
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Sensitivity Theory for General Systems of Nonlinear Equations

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Cited by 147 publications
(147 citation statements)
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“…Structural identifiability was introduced by Bellman and Astrom (1970) as a tool in biological modeling to assess the internal structure of a system from input-output measurements (Cobelli and Romanin-Jacur, 1976;Cobelli and DiStefano, 1980). The adjoint method has been demonstrated by several investigators in the fields of climatological modeling, reactor thermal hydraulics, and reactor safety (Koda et al 1979;Cacuci et al, 1980;Hall et al, 1982). In this approach, 'exact' (Downing et al 1985) sensitivities are calculated as defined by partial derivatives.…”
Section: Introductionmentioning
confidence: 99%
“…Structural identifiability was introduced by Bellman and Astrom (1970) as a tool in biological modeling to assess the internal structure of a system from input-output measurements (Cobelli and Romanin-Jacur, 1976;Cobelli and DiStefano, 1980). The adjoint method has been demonstrated by several investigators in the fields of climatological modeling, reactor thermal hydraulics, and reactor safety (Koda et al 1979;Cacuci et al, 1980;Hall et al, 1982). In this approach, 'exact' (Downing et al 1985) sensitivities are calculated as defined by partial derivatives.…”
Section: Introductionmentioning
confidence: 99%
“…However, these early adjoint methods were applicable solely to linear problems, since nonlinear operators do not admit "adjoints", as is universally known. Cacuci and co-workers (Cacuci et al 1980a;Cacuci et al 1980b) initiated the application of adjoint methods for computing sensitivities of simple responses in simple nonlinear problems. In a remarkable breakthrough, Cacuci (Cacuci 1981a;Cacuci 1981b;Cacuci 1988) developed in 1981 a mathematically-rigorous "adjoint sensitivity analysis" theory applicable to completely general nonlinear systems.…”
Section: Results and Discussion: Design For Responsementioning
confidence: 99%
“…With 7 parameters this yields (3)^=2,187 different sensitivity calculations that can be made simply by substitution into Equation (12) to obtain the approximate fractional change in the response. The exact change in R would require that the primal cork and bottle problem be solved 2,187 times.…”
Section: Computed Changes In Output Responsementioning
confidence: 99%