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Journal of Automation and Information Sciences
SJR: 0.275 SNIP: 0.59 CiteScore™: 0.8

ISSN Druckformat: 1064-2315
ISSN Online: 2163-9337

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Journal of Automation and Information Sciences

DOI: 10.1615/JAutomatInfScien.v40.i7.30
pages 26-36

Problems of Interpretation and Experimental Data Assimilation

Vyacheslav F. Gubarev
Institute of Space Research NAS and SSA of Ukraine, Kiev, Ukraine

ABSTRAKT

Most of inverse problems dealing with interpretation of data obtained in experiment are known as ill-posed ones. Using regularization approach consideration was given to the statements of these problems based on the variational principle. This allows one to obtain approximate solutions which are consistent with errors in initial data and moreover, to perform measurement data assimilation into a mathematical model of the object under investigation.


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