On Finding a Density in a Curvilinear Layer by Biconjugate Gradient Type Methods / Akimova Elena N.,Martyshko Peter S.,Misilov Vladimir E. // . - 2017. - V. 1863, l. .

ISSN/EISSN:

0094-243X / нет данных

Type:

Proceedings Paper

Abstract:

An efficient parallel algorithm based on BiCG-type methods for solving the inverse gravity problem of finding a variable density in a curvilinear layer using gravitational data is constructed. It is based on the results of field theory, theory of ill-posed inverse problems and numerical optimization. Utilizing this algorithm drastically reduces the computation time in comparison with the steepest descent method. The parallel algorithm was implemented using the Uran supercomputer. A model problem with synthetic gravitational data was solved.

Author keywords:

нет данных

DOI:

10.1063/1.4992206

Web of Science ID:

ISI:000410159800058

Соавторы в МНС:

Другие поля

Поле	Значение
Editor	Simos, T and Tsitouras, C
Booktitle	PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON NUMERICAL ANALYSIS AND APPLIED MATHEMATICS 2016 (ICNAAM-2016)
Series	AIP Conference Proceedings
Note	International Conference on Numerical Analysis and Applied Mathematics (ICNAAM), Rhodes, GREECE, SEP 19-25, 2016
Publisher	AMER INST PHYSICS
Address	2 HUNTINGTON QUADRANGLE, STE 1NO1, MELVILLE, NY 11747-4501 USA
Language	English
Article-Number	UNSP 050009-1
ISBN	978-0-7354-1538-6
Research-Areas	Mathematics; Physics
Web-of-Science-Categories	Mathematics, Applied; Physics, Applied
Author-Email	aen15@yandex.ru pmart3@mail.ru out.mrscreg@gmail.com
ResearcherID-Numbers	Martyshko, Peter/R-5902-2016
ORCID-Numbers	Akimova, Elena/0000-0002-4462-5817
Funding-Acknowledgement	Russian Science Foundation {[}14-27-00059]
Funding-Text	This work was supported by Russian Science Foundation, project 14-27-00059.
Number-of-Cited-References	7
Usage-Count-Since-2013	4
Doc-Delivery-Number	BI2TE