The generalized Gauss–Newton method is a generalization of the least-squares method originally described by Carl Friedrich Gauss and of Newton's method due to Isaac Newton to the case of constrained nonlinear least-squares problems.[1]
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(ML 15.2) Newton's method (for optimization) in multiple dimensions
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MSE101 L7.2 Non-linear least squares minimisation
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CMPSC/Math 451. March 27, 2015. Nonlinear Least Squares Method. Wen Shen
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References
- ^ Golub, G. H.; Pereyra, V. (1973), "The differentiation of pseudo-inverses and nonlinear least squares problems whose variables separate", SIAM Journal on Numerical Analysis, 10: 413–432, doi:10.1137/0710036, MR 0336980.
This page was last edited on 12 November 2022, at 20:23