| 000 | 02280cam a2200277zu 4500 | ||
|---|---|---|---|
| 001 | 88864175 | ||
| 003 | FRCYB88864175 | ||
| 005 | 20250107231015.0 | ||
| 006 | m o d | ||
| 007 | cr un | ||
| 008 | 250108s2018 fr | o|||||0|0|||eng d | ||
| 020 | _a9780128135556 | ||
| 035 | _aFRCYB88864175 | ||
| 040 |
_aFR-PaCSA _ben _c _erda |
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| 100 | 1 | _aMenke, William | |
| 245 | 0 | 1 |
_aGeophysical Data Analysis _bDiscrete Inverse Theory _c['Menke, William'] |
| 264 | 1 |
_bElsevier Science _c2018 |
|
| 300 | _a p. | ||
| 336 |
_btxt _2rdacontent |
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| 337 |
_bc _2rdamdedia |
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| 338 |
_bc _2rdacarrier |
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| 650 | 0 | _a | |
| 700 | 0 | _aMenke, William | |
| 856 | 4 | 0 |
_2Cyberlibris _uhttps://international.scholarvox.com/netsen/book/88864175 _qtext/html _a |
| 520 | _aGeophysical 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.Includes material on probability, including Bayesian influence, probability density function and metropolis algorithmOffers detailed discussion of the application of inverse theory to tectonic, gravitational and geomagnetic studiesContains numerous examples, color figures and end-of-chapter homework problems to help readers explore and further understand presented ideas Includes MATLAB examples and problem setsUpdated and refined throughout to bring the text in line with current understanding and improved examples and case studiesExpanded sections to cover material, such as second-derivation smoothing and chi-squared tests not covered in the previous edition | ||
| 999 |
_c71076 _d71076 |
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