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Residual norm behavior for Hybrid LSQR regularization

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F23%3A10468023" target="_blank" >RIV/00216208:11320/23:10468023 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.21136/panm.2022.07" target="_blank" >https://doi.org/10.21136/panm.2022.07</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.21136/panm.2022.07" target="_blank" >10.21136/panm.2022.07</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Residual norm behavior for Hybrid LSQR regularization

  • Original language description

    Hybrid LSQR represents a powerful method for regularization of large-scale discrete inverse problems, where ill-conditioning of the model matrix and ill-posedness of the problem make the solutions seriously sensitive to the unknown noise in the data. Hybrid LSQR combines the iterative Golub-Kahan bidiagonalization with the Tikhonov regularization of the projected problem. While the behavior of the residual norm for the pure LSQR is well understood and can be used to construct a stopping criterion, this is not the case for the hybrid method. Here we analyze the behavior of norms of approximate solutions and the corresponding residuals in Hybrid LSQR with respect to the Tikhonov regularization parameter. This helps to understand convergence properties of the hybrid approach. Numerical experiments demonstrate the results in finite precision arithmetic.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10102 - Applied mathematics

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2023

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Programs and Algorithms of Numerical Mathematics, Proceedings of Seminar.

  • ISBN

    978-80-85823-73-8

  • ISSN

  • e-ISSN

  • Number of pages

    10

  • Pages from-to

    65-74

  • Publisher name

    Institute of Mathematics CAS, Prague

  • Place of publication

    Praha

  • Event location

    Jablonec nad Nisou

  • Event date

    Jun 19, 2022

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article