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Record Nr. |
UNINA9910583476103321 |
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Autore |
Menke William |
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Titolo |
Geophysical data analysis : discrete inverse theory / / William Menke |
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Pubbl/distr/stampa |
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London, United Kingdom : , : Academic Press, an imprint of Elsevier, , [2018] |
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©2018 |
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ISBN |
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0-12-813556-5 |
0-12-813555-7 |
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Descrizione fisica |
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1 online resource (539 pages) |
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Disciplina |
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Soggetti |
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Geophysics - Measurement |
Oceanography - Measurement |
Inverse problems (Differential equations) - Numerical solutions |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Nota di contenuto |
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Describing inverse problems -- Some comments on probability theory -- Solution of the linear, Gaussian inverse problem, viewpoint 1 : the length method -- Solution of the linear, Gaussian inverse problem, viewpoint 2 : generalized inverses -- Solution of the linear, Gaussian inverse problem, viewpoint 3 : maximum likelihood methods -- Nonuniqueness and localized averages -- Applications of vector spaces -- Linear inverse problems and non-Gaussian statistics -- Nonlinear inverse problems -- Factor analysis -- Continuous inverse theory and tomography -- Sample inverse problems -- Applications of inverse theory to solid earth geophysics. |
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Sommario/riassunto |
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"Geophysical Data Analysis: Diverse Inverse Theory, Fourth Edition is a revised and expanded introduction to inverse theory and tomography as it is practiced by geophysicists. It demonstrates the methods needed to analyze a broad spectrum of geophysical datasets, with special attention to those methods that generate images of the earth. Data analysis can be a mathematically complex activity, but the treatment in this volume is carefully designed to emphasize those mathematical techniques that readers will find the most familiar and to systematically introduce less-familiar ones. Using problems and case studies, along |
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with MATLAB computer code and summaries of methods, the book provides data scientists and engineers in geophysics with the tools necessary to understand and apply mathematical techniques and inverse theory"--Publisher's website. |
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