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Optimal preconditioning for the interval parametric Gauss-Seidel method

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F16%3A10329237" target="_blank" >RIV/00216208:11320/16:10329237 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1007/978-3-319-31769-4_10" target="_blank" >http://dx.doi.org/10.1007/978-3-319-31769-4_10</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-319-31769-4_10" target="_blank" >10.1007/978-3-319-31769-4_10</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Optimal preconditioning for the interval parametric Gauss-Seidel method

  • Original language description

    We deal with an interval parametric system of linear equations, and focus on the problem how to find an optimal preconditioning matrix for the interval parametric Gauss-Seidel method. The optimality criteria considered are to minimize the width of the resulting enclosure, to minimize its upper end-point or to maximize its lower end-point. We show that such optimal preconditioners can be computed by solving suitable linear programming problems. We also show by examples that, in some cases, such optimal preconditioners are able to significantly decrease an overestimation of the results of common methods.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    BD - Information theory

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GA13-10660S" target="_blank" >GA13-10660S: Interval methods for optimization problems</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2016

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Scientific Computing, Computer Arithmetic, and Validated Numerics

  • ISBN

    978-3-319-31769-4

  • ISSN

    0302-9743

  • e-ISSN

  • Number of pages

    10

  • Pages from-to

    116-125

  • Publisher name

    Springer

  • Place of publication

    Německo

  • Event location

    Wurzburg, Germany

  • Event date

    Sep 21, 2014

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article