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A globally convergent numerical method for a 3D coefficient inverse problem with a single measurement of multi-frequency data

机译：多频数据测量的3D系数逆问题的全局收敛数值方法

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Michael V. Klibanov; Dinh-Liem Nguyen; Loc H. Nguyen; Hui Liu;
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1. A GLOBALLY CONVERGENT NUMERICAL METHOD FOR A 3D COEFFICIENT INVERSE PROBLEM WITH A SINGLE MEASUREMENT OF MULTI-FREQUENCY DATA [J] . Michael V. Klibanov, Dinh-Liem Nguyen, Loc H. Nguyen, Inverse problems and imaging . 2018,第2期

机译：多频数据测量的3D系数逆问题的全局收敛数值方法
2. Single measurement experimental data for an inverse medium problem inverted by a multi-frequency globally convergent numerical method [J] . Aleksandr E. Kolesov, Michael V. Klibanov, Loc H. Nguyen, Applied numerical mathematics . 2017,第octa期

机译：多频全局收敛数值方法求逆介质反问题的单次测量实验数据
3. Numerical solution of a coefficient inverse problem with multi-frequency experimental raw data by a globally convergent algorithm [J] . Dinh-Liem Nguyen, Michael V. Klibanov, Loc H. Nguyen, Journal of Computational Physics . 2017,第期

机译：全局收敛算法与多频实验原始数据系数逆问题的数值解
4. Fuzzy Hough Transform-Based Methods for Extraction and Measurements of Single Trees in Large-Volume 3D Terrestrial LIDAR Data [C] . Leszek J. Chmielewski, Marcin Bator, Michal Zasada, ICCVG 2010;International conference on computer vision and graphics . 2010

机译：基于模糊霍夫变换的大容量3D地面LIDAR数据中单树的提取和测量方法
5. A globally convergent numerical method for coefficient inverse problems. [D] . Pantong, Natee. 2009

机译：系数逆问题的全局收敛数值方法。
6. Optical imaging of phantoms from real data by an approximately globally convergent inverse algorithm [O] . Jianzhong Su, Michael V. Klibanov, Yueming Liu, -1

机译：近似全局收敛逆算法从真实数据的幻影光学成像
7. Single measurement experimental data for an inverse medium problem inverted by a multi-frequency globally convergent numerical method [O] . Kolesov, Aleksandr E., Klibanov, Michael V., Nguyen, Loc H., 2016

机译：针对逆介质问题的单个测量实验数据通过多频全局收敛数值方法反演
8. Globally Convergent Numerical Methods for Coefficient Inverse Problems [R] . Klibanov, M. V. 2008

机译：系数反问题的全局收敛数值方法

A globally convergent numerical method for a 3D coefficient inverse problem with a single measurement of multi-frequency data

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