ITERATIVE METHODS FOR SOLVING NONLINEAR LEAST SQUARES PROBLEMS.
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WISCONSIN UNIV MADISON MATHEMATICS RESEARCH CENTER
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A class of iterative methods for solving nonlinear least squares problems is presented and a convergence theorem with error estimations is proved. The theorem is then specialized for the case of the Gauss-Newton method, and an algorithm for checking automatically the conditions for convergence is included. Some numerical examples are discussed. Author
- Statistics and Probability