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
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Czech description
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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
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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
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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