- Issue
- Journal of Siberian Federal University. Mathematics & Physics. 2014 7 (2)
- Authors
- Serdyukov, Alexandr S.; Patutin, Andrey V.; Shilova, Tatiana V.
- Contact information
- Serdyukov, Alexandr S.:Novosibirsk State University, Pirogova, 2, Novosibirsk, 630090 Russia;; Patutin, Andrey V.:Institute of Mining, Krasny, 54, Novosibirsk, 630091 Russia;; Shilova, Tatiana V.:Institute of Mining, Krasny, 54, Novosibirsk, 630091 Russia;
- Keywords
- inverse problems; numerical methods; truncated singular value decomposition; geophysics; seismic traveltimes
- Abstract
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 appli- cation 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
- Pages
- 224–234
- Paper at repository of SibFU
- https://elib.sfu-kras.ru/handle/2311/10309
Journal of Siberian Federal University. Mathematics & Physics / Numerical Evaluation of the Truncated Singular Value Decomposition Within the Seismic Traveltimes Tomography Framework
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