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Calculating resolution and covariance matrices for seismic tomography with the LSQR method
Uppsala University.
Uppsala University.
Uppsala University.
1999 (English)In: GEOPHYSICAL JOURNAL INTERNATIONAL, ISSN 0956-540X, Vol. 138, no 3, 886-894 p.Article in journal (Other scientific) Published
Abstract [en]

Tn seismic tomography, the LSQR algorithm is commonly used for solving the inverse problem. LSQR belongs to the family of conjugate gradient methods, so the generalized inverse is not solved explicitly. Consequently, neither the covariance nor the resolut

Place, publisher, year, edition, pages
BLACKWELL SCIENCE LTD , 1999. Vol. 138, no 3, 886-894 p.
Keyword [en]
covariance matrix; Lanczos bidiagonalization; LSQR; resolution matrix; SPARSE LINEAR-EQUATIONS; INVERSE PROBLEMS; LEAST-SQUARES; PROJECTION; ALGORITHM
URN: urn:nbn:se:uu:diva-27721OAI: oai:DiVA.org:uu-27721DiVA: diva2:55617
Addresses: Yao ZS, Uppsala Univ, Dept Earth Sci, Villavagen 16, S-75236 Uppsala, Sweden. Uppsala Univ, Dept Earth Sci, S-75236 Uppsala, Sweden.Available from: 2008-10-17 Created: 2008-10-17 Last updated: 2011-01-14

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