Inverse Problem Theory and Methods for Model Parameter Estimation

Albert Tarantola · Society for Industrial and Applied Mathematics eBooks · 2005

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Albert Tarantola

Publisher

Society for Industrial and Applied Mathematics eBooks

Year

2005

Language

English

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1. The general discrete inverse problem 2. Monte Carol methods 3. The least-squares criterion 4. Least-absolute values criterion and minimax criterion 5. Functional inverse problems 6. Appendices 7. Problems References Index.

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APA 7

Tarantola, A. (2005). Inverse Problem Theory and Methods for Model Parameter Estimation. Society for Industrial and Applied Mathematics eBooks. https://doi.org/10.1137/1.9780898717921

MLA

Tarantola, Albert. Inverse Problem Theory and Methods for Model Parameter Estimation. Society for Industrial and Applied Mathematics eBooks, 2005. https://doi.org/10.1137/1.9780898717921.

Chicago

Tarantola, Albert. 2005. Inverse Problem Theory and Methods for Model Parameter Estimation. Society for Industrial and Applied Mathematics eBooks. https://doi.org/10.1137/1.9780898717921.

Harvard

Tarantola, A. 2005, Inverse Problem Theory and Methods for Model Parameter Estimation, Society for Industrial and Applied Mathematics eBooks, available at: https://doi.org/10.1137/1.9780898717921 [Accessed 7 Aug. 2026].

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Title: Inverse Problem Theory and Methods for Model Parameter Estimation

Author / contributors: Albert Tarantola

Publisher: Society for Industrial and Applied Mathematics eBooks

Publication year: 2005

Language: English

Subjects

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Estimation; Applied mathematics; Inverse; Estimation theory; Inverse problem; Computer science; Mathematics; Mathematical optimization; Algorithm; Mathematical analysis; Engineering; Geometry