Multiple curve fitting with common parameters using NLINFIT

Versión 1.1.0.0 (5,21 KB) por Chen
Wrapper for NLINFIT which allows simultaneous fitting for multiple data sets with shared parameters.
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Actualizado 20 abr 2016

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This function allows you to simultaneously fit multiple data sets (for example noisy measurements) with multiple models, which share some (or all) of the fitting parameters.
Unlike difference approaches using fminsearch (or similar functions), this submission wraps around NLINFIT and thus allows immediate estimation of confidence intervals on data predictions and fitted parameters.

Citar como

Chen (2026). Multiple curve fitting with common parameters using NLINFIT (https://la.mathworks.com/matlabcentral/fileexchange/40613-multiple-curve-fitting-with-common-parameters-using-nlinfit), MATLAB Central File Exchange. Recuperado .

Compatibilidad con la versión de MATLAB
Se creó con R2012a
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Versión Publicado Notas de la versión
1.1.0.0

Updated: 1) Allow use to specify a cell array of weights vectors/functions, similarly to NLINFIT itself. 2) When a weights cell array is not provided by the user, the NLINMULTIFIT will create one by itself to give equal weight to all data sets.
Updated: 1) Allow use to specify a cell array of weights vectors/functions, similarly to NLINFIT itself. 2) When a weights cell array is not provided by the user, the NLINMULTIFIT will create one by itself to give equal weight to all data sets.
1.0.0.0