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Numerical Methods for the Solution of Ill-Posed Problems (Mathematics and Its Applications) 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024

Numerical Methods for the Solution of Ill-Posed Problems (Mathematics and Its Applications)
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A.N. Tikhonov 作者
Springer
譯者
1995-06-30 出版日期
262 頁數
USD 129.00 價格
Hardcover
叢書系列
9780792335832 圖書編碼

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發表於2024-11-08

Numerical Methods for the Solution of Ill-Posed Problems (Mathematics and Its Applications) 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

Numerical Methods for the Solution of Ill-Posed Problems (Mathematics and Its Applications) 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

Numerical Methods for the Solution of Ill-Posed Problems (Mathematics and Its Applications) 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024


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Numerical Methods for the Solution of Ill-Posed Problems (Mathematics and Its Applications) 在線電子書 著者簡介

Numerical Methods for the Solution of Ill-Posed Problems (Mathematics and Its Applications) 在線電子書 著者簡介

Numerical Methods for the Solution of Ill-Posed Problems (Mathematics and Its Applications) 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

Numerical Methods for the Solution of Ill-Posed Problems (Mathematics and Its Applications) 在線電子書 圖書描述

Many problems in science, technology and engineering are posed in the form of operator equations of the first kind, with the operator and RHS approximately known. But such problems often turn out to be ill-posed, having no solution, or a non-unique solution, and/or an unstable solution. Non-existence and non-uniqueness can usually be overcome by settling for 'generalised' solutions, leading to the need to develop regularising algorithms. The theory of ill-posed problems has advanced greatly since A. N. Tikhonov laid its foundations, the Russian original of this book (1990) rapidly becoming a classical monograph on the topic. The present edition has been completely updated to consider linear ill-posed problems with or without a priori constraints (non-negativity, monotonicity, convexity, etc.). Besides the theoretical material, the book also contains a FORTRAN program library. Audience: Postgraduate students of physics, mathematics, chemistry, economics, engineering. Engineers and scientists interested in data processing and the theory of ill-posed problems.

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