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        A two-dimensional search for a Gauss-Newton algorithm

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        903523.pdf (PDF, 59Kb)
        Author
        Forbes, A.B.
        Bartholomew-Biggs, M.
        Attention
        2299/3825
        Abstract
        This paper describes a fall-back procedure for use with the Gauss-Newton method for nonlinear least-squares problems. While the basic Gauss-Newton algorithm is often successful, it is well-known that it can sometimes generate poor search directions and exhibit slow convergence. For dealing with such situations we suggest a new two-dimensional search strategy. Numerical experiments indicate that the proposed technique can be effective.
        Publication date
        2009
        Published in
        Advanced Modeling and Optimization
        Other links
        http://hdl.handle.net/2299/3825
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