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Metallurgical thermophysics processes identification based on extreme algorithms of high order of accuracy (CROSBI ID 268873)

Prilog u časopisu | prethodno priopćenje | međunarodna recenzija

Shlomchak, G. ; Mamuzić, Ilija ; Shvachych, G. ; Мoroz, B. ; Udovyk, I. ; Fedorov, E. ; Spilnyk, M. Metallurgical thermophysics processes identification based on extreme algorithms of high order of accuracy // Metalurgija, 59 (2020), 1; 105-108

Podaci o odgovornosti

Shlomchak, G. ; Mamuzić, Ilija ; Shvachych, G. ; Мoroz, B. ; Udovyk, I. ; Fedorov, E. ; Spilnyk, M.

engleski

Metallurgical thermophysics processes identification based on extreme algorithms of high order of accuracy

The article is devoted the problem to researh the materials thermophysical properties by the inverse methods. Corresponding class of mathematical models is derived. The main research purpose is that the simulation models processing procedure as those that are controlled by input parameters, reduce, on the residual principle basis, to an extreme formulation. This approach allows to develop effective algorithms for solving quotient problems on simulation models of arbitrary accuracy order with adaptation of time modes of a thermophysical experiment. A package of applied problems had been developed for solving the coefficient problems of the heat-conductiving with the methods of mathematical simulation. Creation of package had been carried out considering the requirements of the object-oriented programming.

metallurgical thermophysics ; coefficient tasks ; extreme algorithms ; mathematical models ; heat transfer

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Podaci o izdanju

59 (1)

2020.

105-108

objavljeno

0543-5846

1334-2576

Povezanost rada

Povezane osobe



Metalurgija

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