Яндекс.Метрика

A.S. Serdyukov,A.V.Patutin, T.V. Shilova

Выпуск: 2 , Том: 7 , Год издания: 2014
Сериальное издание: Journal of Siberian Federal University. Mathematics and Physics
Страницы: 208-218

Аннотация

The method of truncated singular value decomposition is a powerful tool of regularization and solution of inverse problems. Application of this method is limited by the memory requirements for the calculation of singular value decomposition of matrices. The solution is a usage of iterative procedures, that provide the possibility to evaluate only the largest singular values and corresponding vectors. For the practical application of this methodology one should answer the questions: what part of the spectrum can be determined numerically and whether the number of singular vectors is enough for the solution. These problems are considered in the present paper within the seismic traveltimes inversion framework.
индекс в базе ИАЦ: 043150