Geophysical data analysis and inverse theory with MATLAB® and Python /
Geophysical Data Analysis and Inverse Theory with MATLAB or Python, Fifth Edition is a revised and expanded introduction to inverse theory and tomography as it is practiced by geophysicists. The book demonstrates the methods needed to analyze a broad spectrum of geophysical datasets, with special at...
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| Autor principal: | |
|---|---|
| Formato: | Electrónico eBook |
| Lenguaje: | inglés |
| Publicado: |
London, United Kingdom :
Academic Press is an imprint of Elsevier,
2024.
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| Edición: | Fifth edition. |
| Materias: | |
| Acceso en línea: | ScienceDirect |
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|---|---|---|---|
| 001 | on1425973863 | ||
| 003 | OCoLC | ||
| 005 | 20260915095221.0 | ||
| 006 | m o d | ||
| 007 | cr cnu---unuuu | ||
| 008 | 240312s2024 enk o 001 0 eng d | ||
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| 020 | |a 9780443137952 |q (electronic bk.) | ||
| 020 | |a 0443137951 |q (electronic bk.) | ||
| 020 | |z 0443137943 | ||
| 020 | |z 9780443137945 | ||
| 035 | |a (OCoLC)1425973863 | ||
| 050 | 4 | |a QC802.A1 |b M46 2024 | |
| 082 | 0 | 4 | |a 551 |2 23/eng/20240312 |1 https://id.oclc.org/worldcat/ddc/E3PgRm9D87BGDMypGtG69RcTq8 |
| 100 | 1 | |a Menke, William, |e author. |1 https://id.oclc.org/worldcat/entity/E39PCjHWQRhYqjMCjYd846HmcX | |
| 245 | 1 | 0 | |a Geophysical data analysis and inverse theory with MATLAB® and Python / |c William Menke. |
| 250 | |a Fifth edition. | ||
| 264 | 1 | |a London, United Kingdom : |b Academic Press is an imprint of Elsevier, |c 2024. | |
| 300 | |a 1 online resource | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 500 | |a Includes index. | ||
| 505 | 0 | |a Chapter 1: Getting started with MATLAB® or Python -- Chapter 2: Describing inverse problems -- Chapter 3: Using probability to describe random variation -- Chapter 4: Solution of the linear, Normal inverse problem, viewpoint 1: The length method -- Chapter 5: Solution of the linear, Normal inverse problem, viewpoint 2: Generalized inverses -- Chapter 6: Solution of the linear, Normal inverse problem, viewpoint 3: Maximum likelihood methods -- Chapter 7: Data assimilation methods including Gaussian process regression and Kalman filtering -- Chapter 8: Nonuniqueness and localized averages -- Chapter 9: Applications of vector spaces -- Chapter 10: Linear inverse problems with non-Normal statistics -- Chapter 11: Nonlinear inverse problems -- Chapter 12: Monte Carlo methods -- Chapter 13: Factor analysis -- Chapter 14: Continuous inverse theory and tomography -- Chapter 15: Sample inverse problems -- Chapter 16: Applications of inverse theory to solid earth geophysics -- Chapter 17: Important algorithms and method summaries. | |
| 520 | |a Geophysical Data Analysis and Inverse Theory with MATLAB or Python, Fifth Edition is a revised and expanded introduction to inverse theory and tomography as it is practiced by geophysicists. The book demonstrates the methods needed to analyze a broad spectrum of geophysical datasets, with special attention given 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. A series of "crib sheets" offer step-by-step summaries of methods presented. Utilizing problems and case studies, along with MATLAB and Python computer code and summaries of methods, the book provides professional geophysicists, students, data scientists and engineers in geophysics with the tools necessary to understand and apply mathematical techniques and inverse theory. | ||
| 588 | 0 | |a Online resource; title from PDF title page (ScienceDirect, viewed March 12, 2024). | |
| 650 | 0 | |a Geophysics |x Measurement. | |
| 650 | 0 | |a Oceanography |x Measurement. | |
| 650 | 0 | |a Inverse problems (Differential equations) |x Numerical solutions. | |
| 630 | 0 | 0 | |a MATLAB. |
| 650 | 0 | |a Python (Computer program language) | |
| 650 | 6 | |a Problèmes inverses (Équations différentielles) |x Solutions numériques. |0 (CaQQLa)201-0120718 | |
| 650 | 6 | |a Python (Langage de programmation) |0 (CaQQLa)201-0351937 | |
| 630 | 0 | 7 | |a MATLAB |2 fast |0 (OCoLC)fst01365096 |
| 650 | 7 | |a Geophysics |x Measurement |2 fast |0 (OCoLC)fst00941024 | |
| 650 | 7 | |a Inverse problems (Differential equations) |x Numerical solutions |2 fast |0 (OCoLC)fst00978099 | |
| 650 | 7 | |a Oceanography |x Measurement |2 fast |0 (OCoLC)fst01043696 | |
| 650 | 7 | |a Python (Computer program language) |2 fast |0 (OCoLC)fst01084736 | |
| 856 | 4 | 0 | |3 ScienceDirect |u https://www.sciencedirect.com/science/book/9780443137945 |