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Curve Fitting
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A description of how to fit a function to experimental data and extract the relevant data points, where the relationship is not-necessarily linear using the Gauss-Newton algorithm.
In this case a Lorentzian line shape is fitted to an experimental data set consisting of 11 data points and 4 fitting parameters are extracted.
To invert a general NxN matrix see here:
To evaluate the derivative of L with respect to f0 see here:
In this case a Lorentzian line shape is fitted to an experimental data set consisting of 11 data points and 4 fitting parameters are extracted.
To invert a general NxN matrix see here:
To evaluate the derivative of L with respect to f0 see here:
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