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A remark on multiobjective stochastic optimization via strongly convex functions

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F16%3A00450553" target="_blank" >RIV/67985556:_____/16:00450553 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1007/s10100-015-0414-7" target="_blank" >http://dx.doi.org/10.1007/s10100-015-0414-7</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/s10100-015-0414-7" target="_blank" >10.1007/s10100-015-0414-7</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    A remark on multiobjective stochastic optimization via strongly convex functions

  • Original language description

    Many economic and financial applications lead (from the mathematical point of view) to deterministic optimization problems depending on a probability measure. These problems can be static (one stage), dynamic with finite (multistage) or infinite horizon, single objective or multiobjective. We focus on one-stage case in multiobjective setting. Evidently, well known results from the deterministic optimization theory can be employed in the case when the "underlying" probability measure is completely known. The assumption of a complete knowledge of the probability measure is fulfilled very seldom. Consequently, we have mostly to analyze the mathematical models on the data base to obtain a stochastic estimate of the corresponding "theoretical" characteristics. However, the investigation of these estimates has been done mostly in one-objective case. In this paper we focus on the investigation of the relationship between "characteristics" obtained on the base of complete knowledge of the probability measure and estimates obtained on the (above mentioned) data base, mostly in the multiobjective case.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    BB - Applied statistics, operational research

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GA13-14445S" target="_blank" >GA13-14445S: New Trends in Stochastic Economic Models under Uncertainty</a><br>

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2016

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Central European Journal of Operations Research

  • ISSN

    1435-246X

  • e-ISSN

  • Volume of the periodical

    24

  • Issue of the periodical within the volume

    2

  • Country of publishing house

    DE - GERMANY

  • Number of pages

    25

  • Pages from-to

    309-333

  • UT code for WoS article

    000374450100005

  • EID of the result in the Scopus database

    2-s2.0-84941338155