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Least Squares Problems: Gauss-Newton Methods

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Newton Methods for Nonlinear Problems

Part of the book series: Springer Series in Computational Mathematics ((SSCM,volume 35))

Abstract

In many branches of science and engineering so–called inverse problems arise: given a series of system measurements and a conjectured model containing unknown parameters, determine these parameters in such a way that model and measurements ‘match best possible’.

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Correspondence to Peter Deuflhard .

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© 2011 Springer-Verlag Berlin Heidelberg

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Deuflhard, P. (2011). Least Squares Problems: Gauss-Newton Methods. In: Newton Methods for Nonlinear Problems. Springer Series in Computational Mathematics, vol 35. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23899-4_4

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