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A general approach to handle complex sensitivity analysis in linear programming

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F23%3A10472195" target="_blank" >RIV/00216208:11320/23:10472195 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.drustvo-informatika.si/sekcije-drustva?stran=publikacije-sor" target="_blank" >https://www.drustvo-informatika.si/sekcije-drustva?stran=publikacije-sor</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    A general approach to handle complex sensitivity analysis in linear programming

  • Original language description

    The sensitivity analysis in linear programming is a well-known standard, technique to deal with variations of selected entries. Its limitation is that is focuses only on sensitivity of one coefficient or other simple cases. The real life is, however, more complicated. To handle a bit more complex data variations, various approaches were introduced and studied. Herein, we address variations of possibly all input data, controlled by a certain matrix norm. More concretely, the aim is to compute the maximum variation of the data in the norm such that the computed optimal basis remains optimal. First, we present results valid for a general matrix norm. Then we inspect particular norms, such as the spectral and the maximum norm. We also analyse computational complexity to know for which norms the problem is efficiently computable and for which it is NP-hard.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    50201 - Economic Theory

Result continuities

  • Project

    <a href="/en/project/GA22-11117S" target="_blank" >GA22-11117S: Global sensitivity analysis and stability in optimization problems</a><br>

  • Continuities

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

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

    Proceedings of the 17th International Symposium on Operational Research SOR&apos;23

  • ISBN

    978-961-6165-61-7

  • ISSN

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

    397-400

  • Publisher name

    Slovenian Society INFORMATIKA

  • Place of publication

    Slovinsko

  • Event location

    Bled, Slovenia

  • Event date

    Sep 20, 2023

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article