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Inverse Problems : Basics, Theory and Applications in Geophysics / by Mathias Richter
(Lecture Notes in Geosystems Mathematics and Computing. ISSN:25123211)
版 | 1st ed. 2016. |
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出版者 | (Cham : Springer International Publishing : Imprint: Birkhäuser) |
出版年 | 2016 |
本文言語 | 英語 |
大きさ | XII, 240 p. 52 illus., 32 illus. in color : online resource |
著者標目 | *Richter, Mathias author SpringerLink (Online service) |
件 名 | LCSH:Numerical analysis LCSH:Mathematical physics LCSH:Geophysics FREE:Numerical Analysis FREE:Theoretical, Mathematical and Computational Physics FREE:Geophysics |
一般注記 | 1.Characterization of Inverse Problems -- 2.Discretization of Inverse Problems -- 3.Regularization of Linear Inverse Problems -- 4.Regularization of Nonlinear Inverse Problems -- Appendix: A.Results from Linear Algebra -- B.Function Spaces -- C.The Fourier Transform -- D.Proofs of Theorems from Chapter 3 The overall goal of the book is to provide access to the regularized solution of inverse problems relevant in geophysics without requiring more mathematical knowledge than is taught in undergraduate math courses for scientists and engineers. From abstract analysis only the concept of functions as vectors is needed. Function spaces are introduced informally in the course of the text, when needed. Additionally, a more detailed, but still condensed introduction is given in Appendix B. A second goal is to elaborate the single steps to be taken when solving an inverse problem: discretization, regularization and practical solution of the regularized optimization problem. These steps are shown in detail for model problems from the fields of inverse gravimetry and seismic tomography. The intended audience is mathematicians, physicists and engineers having a good working knowledge of linear algebra and analysis at the upper undergraduate level HTTP:URL=https://doi.org/10.1007/978-3-319-48384-9 |
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電子ブック | 配架場所 | 資料種別 | 巻 次 | 請求記号 | 状 態 | 予約 | コメント | ISBN | 刷 年 | 利用注記 | 指定図書 | 登録番号 |
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電子ブック | オンライン | 電子ブック |
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Springer eBooks | 9783319483849 |
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EB00235029 |
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データ種別 | 電子ブック |
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分 類 | LCC:QA297-299.4 DC23:518 |
書誌ID | 4000117831 |
ISBN | 9783319483849 |
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