On a Dynamic Variant of the Iteratively Regularized Gauss–Newton Method with Sequential Data-Reference-Cited by-同舟云学术

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On a Dynamic Variant of the Iteratively Regularized Gauss–Newton Method with Sequential Data

Published:2023-12-04 Issue:6 Volume:45 Page:A3020-A3046
ISSN:1064-8275
Container-title:SIAM Journal on Scientific Computing
language:en
Short-container-title:SIAM J. Sci. Comput.

Author:

Chada Neil K.¹,Iglesias Marco²^ORCID,Lu Shuai³^ORCID,Werner Frank⁴^ORCID

Affiliation:

1. Department of Actuarial Mathematics and Statistics, Heriot Watt University, Edinburgh, EH14 4AS, UK.

2. School of Mathematical Sciences, University of Nottingham, Nottingham, NG72RD, UK.

3. School of Mathematical Sciences, SKLCAM and LMNS, Fudan University, 200433, Shanghai, China.

4. Institut für Mathematik, Julius-Maximilians-Universität Würzburg MU97074, Würzburg, Germany.

Funder

Sino-German Mobility Programme

King Abdullah University of Science and Technology

National Natural Science Foundation of China

Science and Technology Commission of Shanghai Municipality

Engineering and Physical Sciences Research Council

Publisher

Society for Industrial & Applied Mathematics (SIAM)

Subject

Applied Mathematics,Computational Mathematics

Reference48 articles.

1. Uses and abuses of EIDORS: an extensible software base for EIT

2. Iteratively Regularized Gauss–Newton Method for Nonlinear Inverse Problems with Random Noise

3. A Lepskij-type stopping rule for regularized Newton methods

4. The Iterated Kalman Smoother as a Gauss–Newton Method

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