Geophysical data analysis discrete inverse theory / William Menke.

Author/creator Menke, William
Format Electronic
EditionFourth edition.
Publication InfoLondon, United Kingdom : Elsevier Ltd. : Academic Press, [2018]
Descriptionxxx, 322 pages : illustrations ; 24 cm
Supplemental ContentFull text available from eBook - Earth and Planetary Sciences 2018
Subjects

Portion of title Discrete inverse theory
Contents 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.
Abstract "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 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.
Bibliography noteIncludes bibliographical references and index.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Issued in other formebook version : 9780128135563
Genre/formElectronic books.
LCCN 2020302828
ISBN0128135557
ISBN9780128135556 (paperback)

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