Optimization and parallelization of Newton type methods for solving structural gravimetry and magnetometry inverse problems

E. Akimova, A. Miniakhmetova, M. Martyshko

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

4 Citations (Scopus)
Original languageEnglish
Title of host publicationEAGE Geoinformatics 2014 - 13th International Conference on Geoinformatics - Theoretical and Applied Aspects 2014
Pages178-182
Number of pages5
Publication statusPublished - 1 Jan 2014

Cite this

Akimova, E., Miniakhmetova, A., & Martyshko, M. (2014). Optimization and parallelization of Newton type methods for solving structural gravimetry and magnetometry inverse problems. In EAGE Geoinformatics 2014 - 13th International Conference on Geoinformatics - Theoretical and Applied Aspects 2014 (pp. 178-182)
Akimova, E. ; Miniakhmetova, A. ; Martyshko, M. / Optimization and parallelization of Newton type methods for solving structural gravimetry and magnetometry inverse problems. EAGE Geoinformatics 2014 - 13th International Conference on Geoinformatics - Theoretical and Applied Aspects 2014. 2014. pp. 178-182
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Akimova, E, Miniakhmetova, A & Martyshko, M 2014, Optimization and parallelization of Newton type methods for solving structural gravimetry and magnetometry inverse problems. in EAGE Geoinformatics 2014 - 13th International Conference on Geoinformatics - Theoretical and Applied Aspects 2014. pp. 178-182.

Optimization and parallelization of Newton type methods for solving structural gravimetry and magnetometry inverse problems. / Akimova, E.; Miniakhmetova, A.; Martyshko, M.

EAGE Geoinformatics 2014 - 13th International Conference on Geoinformatics - Theoretical and Applied Aspects 2014. 2014. p. 178-182.

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

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Akimova E, Miniakhmetova A, Martyshko M. Optimization and parallelization of Newton type methods for solving structural gravimetry and magnetometry inverse problems. In EAGE Geoinformatics 2014 - 13th International Conference on Geoinformatics - Theoretical and Applied Aspects 2014. 2014. p. 178-182