Geophysical data analysis : discrete inverse theory /
"The treatment of inverse theory in this book is divided into four parts. Chapters 1 and 2 provide a general background, explaining what inverse problems are and what constitutes their solution as well as reviewing some of the basic concepts from linear algebra and probability theory that will...
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| Format: | Book |
| Language: | English |
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Waltham, MA :
Academic Press,
2012.
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| Edition: | Matlab ed., 3rd ed. |
| Subjects: |
Table of Contents:
- Chapter 1: Describing Inverse Problems
- Chapter 2: Some Comments on Probability Theory
- Chapter 3: Solution of the Linear, Gaussian Inverse Problem, Viewpoint 1: The Length Method
- Chapter 4: Solution of the Linear, Gaussian Inverse Problem, Viewpoint 2: Generalized Inverses
- Chapter 5: Solution of the Linear, Gaussian Inverse Problem, Viewpoint 3: Maximum Likelihood Methods
- Chapter 6: Nonuniqueness and Localized Averages
- Chapter 7: Applications of Vector Spaces
- Chapter 8: Linear Inverse Problems and Non-Gaussian Statistics
- Chapter 9: Nonlinear Inverse Problems
- Chapter 10: Factor Analysis
- Chapter 11: Continuous Inverse Theory and Tomography
- Chapter 12: Sample Inverse Problems
- Chapter 13: Applications of Inverse Theory to Solid Earth Geophysics
- Appendices.