nonlinear curve-fitting: weight vector
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hi I am working on a multiobjective procedure using the 'lsqcurvefit' (Levenberg-Marquardt algorithm): I would like to use a weight vector during risolution of the best fit in order to force the best fit function following the last inputs in a better way instead of the first ones. How can I?
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