Optimal value bounds in nonlinear programming with interval data
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F11%3A10099314" target="_blank" >RIV/00216208:11320/11:10099314 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/s11750-009-0099-y" target="_blank" >http://dx.doi.org/10.1007/s11750-009-0099-y</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s11750-009-0099-y" target="_blank" >10.1007/s11750-009-0099-y</a>
Alternative languages
Result language
angličtina
Original language name
Optimal value bounds in nonlinear programming with interval data
Original language description
We consider nonlinear programming problems the input data of which are not fixed, but vary in some real compact intervals. The aim of this paper is to determine bounds of the optimal values. We propose a general framework for solving such problems. Undersome assumption, the exact lower and upper bounds are computable by using two non-interval optimization problems. While these two optimization problems are hard to solve in general, we show that for some particular subclasses they can be reduced to easyproblems. Subclasses that are considered are convex quadratic programming and posynomial geometric programming.
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
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
TOP
ISSN
1134-5764
e-ISSN
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Volume of the periodical
19
Issue of the periodical within the volume
1
Country of publishing house
DE - GERMANY
Number of pages
14
Pages from-to
93-106
UT code for WoS article
000292881800010
EID of the result in the Scopus database
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