Solving The Least Squares Problem
The minimum of the sum of squares is found by setting the gradient to zero. Since the model contains m parameters there are m gradient equations.
and since the gradient equations become
- .
The gradient equations apply to all least squares problems. Each particular problem requires particular expressions for the model and its partial derivatives.
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