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The Factorization Method for Inverse Problems (Oxford Lecture Series in Mathematics and Its Applicat 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2025

The Factorization Method for Inverse Problems (Oxford Lecture Series in Mathematics and Its Applicat
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Andreas Kirsch 作者
Oxford University Press, USA
譯者
2008-02-09 出版日期
216 頁數
USD 90.00 價格
Hardcover
叢書系列
9780199213535 圖書編碼

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The Factorization Method for Inverse Problems (Oxford Lecture Series in Mathematics and Its Applicat 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2025

The Factorization Method for Inverse Problems (Oxford Lecture Series in Mathematics and Its Applicat 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2025

The Factorization Method for Inverse Problems (Oxford Lecture Series in Mathematics and Its Applicat 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2025


The Factorization Method for Inverse Problems (Oxford Lecture Series in Mathematics and Its Applicat 在線電子書 用戶評價

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The Factorization Method for Inverse Problems (Oxford Lecture Series in Mathematics and Its Applicat 在線電子書 著者簡介

The Factorization Method for Inverse Problems (Oxford Lecture Series in Mathematics and Its Applicat 在線電子書 著者簡介

The Factorization Method for Inverse Problems (Oxford Lecture Series in Mathematics and Its Applicat 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

The Factorization Method for Inverse Problems (Oxford Lecture Series in Mathematics and Its Applicat 在線電子書 圖書描述

The factorization method is a relatively new method for solving certain types of inverse scattering problems and problems in tomography. Aimed at students and researchers in Applied Mathematics, Physics and Engineering, this text introduces the reader to this promising approach for solving important classes of inverse problems. The wide applicability of this method is discussed by choosing typical examples, such as inverse scattering problems for the scalar Helmholtz equation, a scattering problem for Maxwell's equation, and a problem in impedance and optical tomography. The last section of the book compares the Factorization Method to established sampling methods (the Linear Sampling Method, the Singular Source Method, and the Probe Method).

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