A Gauss-Newton-like optimization algorithm for "weighted" nonlinear least-squares problems

  title={A Gauss-Newton-like optimization algorithm for "weighted" nonlinear least-squares problems},
  author={Patrick Guillaume and Rik Pintelon},
  journal={IEEE Trans. Signal Processing},
The Gauss-Newton algorithm is often used to minimize a nonlinear least-squares loss function instead of the original Newton-Raphson algorithm. The main reason is the fact that only first-order derivatives are needed to construct the Jacobian matrix. Some applications as, for instance multivariable system identification, give rise to “weighted” nonlinear least-squares problems for which it can become quite hard to obtain an analytical expression of the Jacobian matrix. To overcome that struggle… CONTINUE READING
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