Overview
- First monograph to explore methods of modeling geologic strata through mollifier magnetometric techniques
- Demonstrates how problems in magnetometry can be reduced to calculable decorrelated models
- Highlights the role of geomathematics as a bridge between mathematical theory and geotechnical applications
Part of the book series: Lecture Notes in Geosystems Mathematics and Computing (LNGMC)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (7 chapters)
Keywords
About this book
Potential data sets primarily of terrestrial origin constitute the main data basis in the book. For deep geology, the geomathematical decorrelation methods are designed in such a way that depth information (e.g., in boreholes) may be canonically entered.
Overall, this book provides pioneering and ground-breaking innovative mathematical knowledge as a transfer methodology from the “reality space” of magnetometric measurements into the “virtual space” of mathematical-numerical modeling structures and mollifier solutions with novel geological application areas. It pursues a double goal: On the one hand, it represents a geoscientific set of rules for today's geoengineering, interested in the application of innovative modelling and simulation techniques to promising data sets and structures occurring in geomagnetics. On the other hand, the book serves as a collection of current material in Applied Mathematics to offer alternative methodologies in the theory of inverse problems.
Authors and Affiliations
Bibliographic Information
Book Title: Inverse Magnetometry
Book Subtitle: Mollifier Magnetization Distribution from Geomagnetic Field Data
Authors: Christian Blick, Willi Freeden, M. Zuhair Nashed, Helga Nutz, Michael Schreiner
Series Title: Lecture Notes in Geosystems Mathematics and Computing
DOI: https://doi.org/10.1007/978-3-030-79508-5
Publisher: Birkhäuser Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
Softcover ISBN: 978-3-030-79507-8Published: 09 September 2021
eBook ISBN: 978-3-030-79508-5Published: 08 September 2021
Series ISSN: 2730-5996
Series E-ISSN: 2512-3211
Edition Number: 1
Number of Pages: XII, 114
Number of Illustrations: 6 b/w illustrations, 22 illustrations in colour
Topics: Numerical Analysis, Analysis, Geophysics/Geodesy, Mathematical Modeling and Industrial Mathematics