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- W2052803362 abstract "We address numerical optimization algorithms for solving nonlinear least squares problems that lack well-defined solutions, in particular discrete parameter estimation problems. We present algorithms based on the Gauss–Newton method for both exactly and almost rank-deficient problems. Merit functions proposed have good global convergence properties. Numerical results that confirm local convergence results are presented." @default.
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- W2052803362 date "2004-12-01" @default.
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- W2052803362 title "Truncated Gauss–Newton algorithms for Ill-conditioned nonlinear least squares problems" @default.
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- W2052803362 doi "https://doi.org/10.1080/10556780410001722471" @default.
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