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Computational Methods for Applied Inverse Problems 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024

Computational Methods for Applied Inverse Problems
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简体网页||繁体网页
Wang, Yanfei 编 作者
Walter de Gruyter & Co
译者
2012-10 出版日期
550 页数
$ 220.35 价格
精装
丛书系列
9783110259049 图书编码

Computational Methods for Applied Inverse Problems 在线电子书 图书标签: 专业参考书   

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Computational Methods for Applied Inverse Problems 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Computational Methods for Applied Inverse Problems 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Computational Methods for Applied Inverse Problems 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024


Computational Methods for Applied Inverse Problems 在线电子书 用户评价

评分☆☆☆☆☆

An excellent book for image processing, particularly for those beginner learning such as the graduate student in math, applied math and engineering.

评分☆☆☆☆☆

An excellent book for image processing, particularly for those beginner learning such as the graduate student in math, applied math and engineering.

评分☆☆☆☆☆

An excellent book for image processing, particularly for those beginner learning such as the graduate student in math, applied math and engineering.

评分☆☆☆☆☆

An excellent book for image processing, particularly for those beginner learning such as the graduate student in math, applied math and engineering.

评分☆☆☆☆☆

An excellent book for image processing, particularly for those beginner learning such as the graduate student in math, applied math and engineering.

Computational Methods for Applied Inverse Problems 在线电子书 著者简介

Computational Methods for Applied Inverse Problems 在线电子书 图书目录

Computational Methods for Applied Inverse Problems 在线电子书 pdf 下载 txt下载 epub 下载 mobi 在线电子书下载

Computational Methods for Applied Inverse Problems 在线电子书 图书描述

This monograph reports recent advances of inversion theory and recent developments with practical applications in frontiers of sciences, especially inverse design and novel computational methods for inverse problems. Readers who do research in applied mathematics, engineering, geophysics, biomedicine, image processing, remote sensing, and environmental science will benefit from the contents since the book incorporates a background of using statistical and non-statistical methods, e.g., regularization and optimization techniques for solving practical inverse problems.

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