By Stanford University Center for Large Scale Scientific Computation, C. Fraley, Stanford University. Systems Optimization Laboratory
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Abstract: "This paper is concerned with the behavior of Gauss-Newton methods for nonlinear least-squares problems. Here we assume that the defining feature of a Gauss-Newton method is that the direction from one iterate to the next is the numerical solution of a particular linear least-squares problem, with a steplength subsequently determined by a linesearch procedure. It is well known that Gauss-Newton methods cannot be successfully applied to nonlinear least-squares problems as a class without modification. Our purpose is to give specific examples illustrating some of the difficulties that arise in practice which we believe have not been fully described in the literature."
Book Details
Country: US
Published: 1987
Publisher: Stanford University, Department of Operations Research, Systems Optimization Laboratory