Talk:Levenberg–Marquardt algorithm: Difference between revisions

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where <math>\Sigma_{JJ}</math> is the square diagonal matrix:
<math>\Sigma_{JJ} = \Sigma_J^T\Sigma_J</math>
with <math>\Sigma_J</math> the square diagonal matrix:
with
<math>\Sigma_J = [\mbox{diag}(J)]^{-\frac{1}{2}}</math>
andso that the scaled Jacobian, <math>\hat{J}</math>, is:
<math>\hat{J} = \Sigma_{JJ}J</math>