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- W2737930845 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." @default.
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- W2737930845 date "2017-01-01" @default.
- W2737930845 modified "2023-10-03" @default.
- W2737930845 title "On finding a density in a curvilinear layer by biconjugate gradient type methods" @default.
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- W2737930845 doi "https://doi.org/10.1063/1.4992206" @default.
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