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: http://num-meth.srcc.msu.ru/english/zhurnal/tom_2016/v17r103.html
Дата изменения: Tue Jan 26 14:30:48 2016 Дата индексирования: Sun Apr 10 02:59:41 2016 Кодировка: IBM-866 |
"Regularized inversion of full tensor magnetic gradient data" Wang Y., Luk'yanenko D.V., and Yagola A.G. |
Features of numerical solution of the three-dimensional ill-posed problem devoted to the inversion of full tensor magnetic gradient data are considered. This problem is simulated by a system of two three-dimensional Fredholm integral equations of the first kind. The Tikhonov regularization is applied to solve this ill-posed problem. The conjugate gradient method is used as a minimization method. The choice of the regularization parameter is realized according to the generalized residual principle with consideration of round-off errors capable of affecting the final result of calculations significantly. Keywords: magnetostatics, full tensor magnetic gradient data, inverse problems, ill-posed problems, regularization method.
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