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Article . 2010
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Article . 2010
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Approximative solutions of stochastic optimization problems.

Approximative solutions of stochastic optimization problems
descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 2010 Czech Republic Publisher:Academy of Sciences of the Czech Republic, Institute of Information Theory and Automation, PragueJournal:Kybernetika, volume 46, pages 513-523
Authors: Lachout, P. (Petr);

handle: 11104/0188892

Approximative solutions of stochastic optimization problems.

Abstract

zbMATH Open Web Interface contents unavailable due to conflicting licenses.

Country
Czech Republic
Related Organizations
Keywords

Stochastic optimization problem, Limit theorems in probability theory, \(\varepsilon\)-minimal solution, level-minimal solution, Sensitivity, stability, parametric optimization, Stochastic programming, randomness, approximative solution, sensitivity, Asymptotic properties of parametric estimators

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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