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Geophysical Data Analysis and Inverse Theory with Matlab(r) and Python by Menke
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Oggetto che si trova a: Sparks, Nevada, Stati Uniti
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Numero oggetto eBay:405285340052
Specifiche dell'oggetto
- Condizione
- Book Title
- Geophysical Data Analysis and Inverse Theory with Matlab(r) and P
- Publication Date
- 2024-02-27
- Edition Number
- 5
- Pages
- 342
- ISBN
- 9780443137945
Informazioni su questo prodotto
Product Identifiers
Publisher
Elsevier Science & Technology
ISBN-10
0443137943
ISBN-13
9780443137945
eBay Product ID (ePID)
24063183608
Product Key Features
Number of Pages
400 Pages
Publication Name
Geophysical Data Analysis and Inverse Theory with Matlab® and Python
Language
English
Publication Year
2024
Subject
Physics / Geophysics, Physics / General
Type
Textbook
Subject Area
Science
Format
Trade Paperback
Dimensions
Item Length
10.9 in
Item Width
8.5 in
Additional Product Features
Edition Number
5
Intended Audience
College Audience
Dewey Edition
23
Illustrated
Yes
Dewey Decimal
551
Table Of Content
1. Getting started with Matlab® or python 2. Describing inverse problems 3. Using probabilty to describe random variation 4. Solution of the linear, normal inverse problem, viewpoint 1: the length method 5. Solution of the linear, normal inverse problem, viewpoint 2: generalized inverses 6. Solution of the linear, normal inverse problem, viewpoint 3: maximum likelihood methods 7. Data assimilation methods including gaussian process regression and kalman filtering 8. Nonuniqueness and localized averages 9. Applications of vector spaces 10. Linear inverse problems with non-normal statistics 11. Nonlinear inverse problems 12. Monte carlo methods 13. Factor analysis 14. Continuous inverse theory and tomography 15. Sample inverse problems 16. Applications of inverse theory to solid earth geophysics 17. Important algorithms and method summaries
Synopsis
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.
LC Classification Number
QC802.A1M46 2024
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