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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.

What is MCQ? The Mathematical Citation Quotient (MCQ) measures journal impact by looking at citations over a five-year period. Subscribers to MathSciNet may click through for more detailed information.

 

On a class of frozen regularized Gauss-Newton methods for nonlinear inverse problems
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by Qinian Jin PDF
Math. Comp. 79 (2010), 2191-2211 Request permission

Abstract:

In this paper we consider a class of regularized Gauss-Newton methods for solving nonlinear inverse problems for which an a posteriori stopping rule is proposed to terminate the iteration. Such methods have the frozen feature that they require only the computation of the Fréchet derivative at the initial approximation. Thus the computational work is considerably reduced. Under certain mild conditions, we give the convergence analysis and derive various estimates, including the order optimality, on these methods.
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Additional Information
  • Qinian Jin
  • Affiliation: Department of Mathematics, The University of Texas at Austin, Austin, Texas 78712
  • Address at time of publication: Department of Mathematics, Virginia Tech, Blacksburg, Virginia 24061
  • Email: qjin@math.utexas.edu, qnjin@math.vt.edu
  • Received by editor(s): September 26, 2008
  • Received by editor(s) in revised form: June 1, 2009
  • Published electronically: April 20, 2010
  • © Copyright 2010 American Mathematical Society
    The copyright for this article reverts to public domain 28 years after publication.
  • Journal: Math. Comp. 79 (2010), 2191-2211
  • MSC (2010): Primary 65J15, 65J20
  • DOI: https://doi.org/10.1090/S0025-5718-10-02359-8
  • MathSciNet review: 2684361