Peer-reviewed articles 17,970 +



Title: MODIFIED CONJUGATE GRADIENT METHOD FOR SOLVING THE NONLINEAR INVERSE GRAVIMETRY PROBLEM IN THE CASE OF MULTILAYERED MEDIUM

MODIFIED CONJUGATE GRADIENT METHOD FOR SOLVING THE NONLINEAR INVERSE GRAVIMETRY PROBLEM IN THE CASE OF MULTILAYERED MEDIUM
E. N. Akimova;V. E. Misilov;M. V. Klimov
1314-2704
English
18
1.1
The paper is devoted to construction of the time efficient algorithm for solving the structural inverse gravimetry problem. The problem is in finding by known gravitational data multiple interfaces between layers with different constant densities. This problem is described by a nonlinear integral equation of the first kind; so, it is ill-posed. After discretization of the area and approximation of the integral operator, the problem is reduced to solving a system of nonlinear equations. An efficient method was constructed on the basis of the nonlinear conjugate gradient method. The approximation method based on dropping out the lesser elements of Jacobian matrix was proposed. The parallel algorithm was developed and numerically implemented for the multicore processor. The structural gravimetry problem of reconstructing three surfaces using quasi-real data was solved. Comparison of the proposed matrix approximation approach with the exact calculation in terms of the execution time was carried out. The scaling of the parallel algorithm was studied.
conference
18th International Multidisciplinary Scientific GeoConference SGEM 2018
18th International Multidisciplinary Scientific GeoConference SGEM 2018, 02-08 July, 2018
Proceedings Paper
STEF92 Technology
International Multidisciplinary Scientific GeoConference-SGEM
Bulgarian Acad Sci; Acad Sci Czech Republ; Latvian Acad Sci; Polish Acad Sci; Russian Acad Sci; Serbian Acad Sci & Arts; Slovak Acad Sci; Natl Acad Sci Ukraine; Natl Acad Sci Armenia; Sci Council Japan; World Acad Sci; European Acad Sci, Arts & Letters; Ac
893-900
02-08 July, 2018
website
cdrom
111
structural inverse gravimetry problem; gradient method; band matrix; parallel algorithms; multicore processor

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