Parallel Algorithms of Global Optimization in Identification of an Economic Model

The paper proposes and approves new criteria for proximity of statistical and computational economic indexes, their convolution, which are used in indirect estimation of parameters of economic models. Parallel algorithms of global optimization to identify the parameters of these models are developed and tested

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Year of publication:	2016
Authors:	Olenev, Nicholas
Publisher:	[2016]: [S.l.] : SSRN
Subject:	Theorie \| Theory \| Mathematische Optimierung \| Mathematical programming

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Extent:	1 Online-Ressource (7 p)
Type of publication:	Book / Working Paper
Language:	English
Notes:	In: CEDIMES Scientific Seminar at Dorodnicyn Computing Centre – Moscow: CEDIMES-Russie occ., Vol. 1, No. 1, 2015. P.45-49 Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments January 22, 2016 erstellt
Classification:	c18 ; C51 - Model Construction and Estimation ; C53 - Forecasting and Other Model Applications
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10013000744