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Preconditioning of LSQR and CGLS: Variants, Properties and Relations

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F25%3A10511074" target="_blank" >RIV/00216208:11320/25:10511074 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1007/978-3-031-86173-4_42" target="_blank" >https://doi.org/10.1007/978-3-031-86173-4_42</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-031-86173-4_42" target="_blank" >10.1007/978-3-031-86173-4_42</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Preconditioning of LSQR and CGLS: Variants, Properties and Relations

  • Original language description

    LSQR and CGLS represent well known Krylov subspace methods for the solution of linear approximation problems including ill-posed ones. In order to accelerate convergence or impose solution constraints, various preconditioning strategies have been proposed. Basic LSQR and CGLS are mathematically equivalent, but relations among their preconditioned variants have been studied only partially. In this paper, we do not restrict to particular applications, but we algebraically describe underlying subspaces, optimality conditions, and relate quantities generated by selected preconditioned variants. Furthermore, motivated by available right preconditioned CGLS avoiding transformation of coordinates, we give a transformation free right preconditioned LSQR algorithm.

  • 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

    2025

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Lecture Notes in Computational Science and Engineering

  • ISBN

    978-3-031-86172-7

  • ISSN

    1439-7358

  • e-ISSN

    2197-7100

  • Number of pages

    10

  • Pages from-to

    415-424

  • Publisher name

    Springer Nature

  • Place of publication

    Switzerland

  • Event location

    Lisbon, portugal

  • Event date

    Sep 4, 2023

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article