Multiple curve fitting with common parameters using NLINFIT
Wrapper for NLINFIT which allows simultaneous fitting for multiple data sets with shared parameters.
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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.
Cite As
Chen (2026). Multiple curve fitting with common parameters using NLINFIT (https://nl.mathworks.com/matlabcentral/fileexchange/40613-multiple-curve-fitting-with-common-parameters-using-nlinfit), MATLAB Central File Exchange. Retrieved .
General Information
- Version 1.1.0.0 (5.21 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 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.
|
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| 1.0.0.0 |
