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We describe Gauss–Newton-type methods for fitting implicitly defined curves and surfaces to given unorganized data points. The methods are suitable not only for least-squares approximation, but they can also deal with general error functions, such as approximations to the ℓ1 or ℓ∞ norm of the vector of residuals. Two different definitions of the residuals will be discussed, which lead to two different...
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