On smoothness and invariance properties of the gauss-newton method

Beyn W-J (1993)
Numerical Functional Analysis and Optimization 14(5-6): 503-514.

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Zeitschriftenaufsatz | Veröffentlicht | Englisch
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Abstract / Bemerkung
We consider systems of m nonlinear equations in m + p unknowns which have p-dimensional solution manifolds. It is well-known that the Gauss-Newton method converges locally and quadratically to regular points on this manifold. We investigate in detail the mapping which transfers the starting point to its limit on the manifold. This mapping is shown to be smooth of one order less than the given system. Moreover, we find that the Gauss-Newton method induces a foliation of the neighborhood of the manifold into smooth submanifolds. These submanifolds are of dimension m, they are invariant under the Gauss-Newton iteration, and they have orthogonal intersections with the solution manifold.
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Zeitschriftentitel
Numerical Functional Analysis and Optimization
Band
14
Zeitschriftennummer
5-6
Seite
503-514
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Beyn W-J. On smoothness and invariance properties of the gauss-newton method. Numerical Functional Analysis and Optimization. 1993;14(5-6):503-514.
Beyn, W. - J. (1993). On smoothness and invariance properties of the gauss-newton method. Numerical Functional Analysis and Optimization, 14(5-6), 503-514. doi:10.1080/01630569308816536
Beyn, W. - J. (1993). On smoothness and invariance properties of the gauss-newton method. Numerical Functional Analysis and Optimization 14, 503-514.
Beyn, W.-J., 1993. On smoothness and invariance properties of the gauss-newton method. Numerical Functional Analysis and Optimization, 14(5-6), p 503-514.
W.-J. Beyn, “On smoothness and invariance properties of the gauss-newton method”, Numerical Functional Analysis and Optimization, vol. 14, 1993, pp. 503-514.
Beyn, W.-J.: On smoothness and invariance properties of the gauss-newton method. Numerical Functional Analysis and Optimization. 14, 503-514 (1993).
Beyn, Wolf-Jürgen. “On smoothness and invariance properties of the gauss-newton method”. Numerical Functional Analysis and Optimization 14.5-6 (1993): 503-514.
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