Library Subscription: Guest
Journal of Automation and Information Sciences

Published 12 issues per year

ISSN Print: 1064-2315

ISSN Online: 2163-9337

SJR: 0.173 SNIP: 0.588 CiteScore™:: 2

Indexed in

Problems of Interpretation and Experimental Data Assimilation

Volume 40, Issue 7, 2008, pp. 26-36
DOI: 10.1615/JAutomatInfScien.v40.i7.30
Get accessGet access

ABSTRACT

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.

Begell Digital Portal Begell Digital Library eBooks Journals References & Proceedings Research Collections Prices and Subscription Policies Begell House Contact Us Language English 中文 Русский Português German French Spain