An extended Marquardt-type procedure for fitting error-in-variables models

The paper presents a simple derivation of the method of fitting nonlinear algebraic models where all variables are subject to error and improves the numerical efficiency of the algorithm. Including a known procedure for equilibrating balance equations and factorizing the weighting matrix, the classi...

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Published inComputers & chemical engineering Vol. 11; no. 1; pp. 37 - 43
Main Authors Valkó, P., Vajda, S.
Format Journal Article
LanguageEnglish
Published Oxford Elsevier Ltd 1987
Elsevier
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Abstract The paper presents a simple derivation of the method of fitting nonlinear algebraic models where all variables are subject to error and improves the numerical efficiency of the algorithm. Including a known procedure for equilibrating balance equations and factorizing the weighting matrix, the classical Gauss-Marquardt method of estimating parameters in nonlinear models is shown to handle also the error-in-variables model, thereby extending the efficiency and robustness of Marquardt's compromise to this slightly more involved case.
AbstractList The paper presents a simple derivation of the method of fitting nonlinear algebraic models where all variables are subject to error and improves the numerical efficiency of the algorithm. Including a known procedure for equilibrating balance equations and factorizing the weighting matrix, the classical Gauss-Marquardt method of estimating parameters in nonlinear models is shown to handle also the error-in-variables model, thereby extending the efficiency and robustness of Marquardt's compromise to this slightly more involved case.
Author Valkó, P.
Vajda, S.
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Keywords Non linear equation
Algebraic equation
Error
Parameter estimation
Mathematical model
Chemical engineering
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Snippet The paper presents a simple derivation of the method of fitting nonlinear algebraic models where all variables are subject to error and improves the numerical...
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SubjectTerms Applications of mathematics to chemical engineering. Modeling. Simulation. Optimization
Applied sciences
Chemical engineering
Exact sciences and technology
Title An extended Marquardt-type procedure for fitting error-in-variables models
URI https://dx.doi.org/10.1016/0098-1354(87)80004-2
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