Optimization of gradient algorithm for solving the nonlinear inverse potential problem
Author:
Affiliation:
1. Krasovskii Institute of Mathematics and Mechanics, Ural Branch of RAS, Ekaterinburg, Russia
2. Yeltsin Ural Federal University, Ekaterinburg, Russia
Publisher
IOS Press
Subject
Computational Mathematics,Computer Science Applications,General Engineering
Reference3 articles.
1. E.N. Akimova, P.S. Martyshko and V.E. Misilov, A fast parallel gradient algorithm for solving structural inverse gravity problem, ICNAAM-2014, Rhodos, AIP Conference Proceedings, 1648, 850063. http://dx.doi.org/10.1063/1.4913118
2. Solving the structural inverse gravity problem by the modified gradient methods;Martyshko;Izvestiya, Physics of the Solid Earth,2016
3. Studying the structural features of the lithospheric magnetic and gravity fields with the use of parallel algorithms;Martyshko;Izvestiya, Physics of the Solid Earth,2014
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1. An accelerated Homotopy-Perturbation-Kaczmarz method for solving nonlinear inverse problems;Journal of Computational and Applied Mathematics;2022-04
2. Regularized gradient algorithms for solving the nonlinear gravimetry problem for the multilayered medium;Mathematical Methods in the Applied Sciences;2020-11-21
3. Stable regularized algorithms for solving the inverse gravimetry problem in the case of multilayered medium;PROCEEDINGS OF THE X ALL-RUSSIAN CONFERENCE “Actual Problems of Applied Mathematics and Mechanics” with International Participation, Dedicated to the Memory of Academician A.F. Sidorov and 100th Anniversary of UrFU: AFSID-2020;2020
4. Conjugate gradient method for solving the inverse gravimetry problem in multilayered medium: Parallel implementation;APPLICATION OF MATHEMATICS IN TECHNICAL AND NATURAL SCIENCES: 11th International Conference for Promoting the Application of Mathematics in Technical and Natural Sciences - AMiTaNS’19;2019
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