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＜電子ブック＞
Inverse Magnetometry : Mollifier Magnetization Distribution from Geomagnetic Field Data / by Christian Blick, Willi Freeden, M. Zuhair Nashed, Helga Nutz, Michael Schreiner
(Lecture Notes in Geosystems Mathematics and Computing. ISSN:25123211)

版	1st ed. 2021.
出版者	(Cham : Springer International Publishing : Imprint: Birkhäuser)
出版年	2021
本文言語	英語
大きさ	XII, 114 p. 28 illus., 22 illus. in color : online resource
著者標目	*Blick, Christian author Freeden, Willi author Nashed, M. Zuhair author Nutz, Helga author Schreiner, Michael author SpringerLink (Online service)
件　名	LCSH:Numerical analysis LCSH:Differential equations LCSH:Geophysics LCSH:Mathematical models FREE:Numerical Analysis FREE:Differential Equations FREE:Geophysics FREE:Mathematical Modeling and Industrial Mathematics
一般注記	Introductory Remarks -- Basics of Magnetic Field Theory and Magnetization -- Dipole Potential Based Magnetometry -- Inverse Magnetometry -- Multi-Scale Inverse Mollifier Magnetometry -- Test Demonstrations -- Concluding Remarks This monograph presents the geoscientific context arising in decorrelative geomagnetic exploration. First, an insight into the current state of research is given by reducing magnetometry to mathematically accessible, and thus calculable, decorrelated models. In this way, various questions and problems of magnetometry are made available to a broad scientific audience and the exploration industry. New stimuli are given, and innovative ways of modeling geologic strata by mollifier magnetometric techniques are shown. 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 HTTP:URL=https://doi.org/10.1007/978-3-030-79508-5

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