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Mathematics of Computation

Published by the American Mathematical Society since 1960 (published as Mathematical Tables and other Aids to Computation 1943-1959), Mathematics of Computation is devoted to research articles of the highest quality in computational mathematics.

ISSN 1088-6842 (online) ISSN 0025-5718 (print)

The 2020 MCQ for Mathematics of Computation is 1.78.

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A simplified generalized Gauss-Newton method for nonlinear ill-posed problems
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by Pallavi Mahale and M. Thamban Nair PDF
Math. Comp. 78 (2009), 171-184 Request permission

Abstract:

Iterative regularization methods for nonlinear ill-posed equations of the form $F(x)= y$, where $F: D(F) \subset X \to Y$ is an operator between Hilbert spaces $X$ and $Y$, usually involve calculation of the Fréchet derivatives of $F$ at each iterate and at the unknown solution $x^\dagger$. In this paper, we suggest a modified form of the generalized Gauss-Newton method which requires the Fréchet derivative of $F$ only at an initial approximation $x_0$ of the solution $x^\dagger$. The error analysis for this method is done under a general source condition which also involves the Fréchet derivative only at $x_0$. The conditions under which the results of this paper hold are weaker than those considered by Kaltenbacher (1998) for an analogous situation for a special case of the source condition.
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Additional Information
  • Pallavi Mahale
  • Affiliation: Department of Mathematics, IIT Madras, Chennai 600036, India
  • Email: pallavimahale@iitm.ac.in
  • M. Thamban Nair
  • Affiliation: Department of Mathematics, IIT Madras, Chennai 600036, India
  • Email: mtnair@iitm.ac.in
  • Received by editor(s): July 2, 2007
  • Received by editor(s) in revised form: January 13, 2008
  • Published electronically: June 10, 2008
  • © Copyright 2008 American Mathematical Society
    The copyright for this article reverts to public domain 28 years after publication.
  • Journal: Math. Comp. 78 (2009), 171-184
  • MSC (2000): Primary 65J20
  • DOI: https://doi.org/10.1090/S0025-5718-08-02149-2
  • MathSciNet review: 2448702