Inverse Problems and Carleman Estimates: Global Uniqueness, Global Convergence and Experimental Data

Inverse Problems and Carleman Estimates: Global Uniqueness, Global Convergence and Experimental Data

Author
Michael V. Klibanov, Jingzhi Li
Publisher
De Gruyter
Language
English
Year
2021
Page
344
ISBN
9783110745412,9783110745481,9783110745559,2021940405
File Type
pdf
File Size
6.3 MiB

This book summarizes the main analytical and numerical results of Carleman estimates. In the analytical part, Carleman estimates for three main types of Partial Differential Equations (PDEs) are derived. In the numerical part, first numerical methods are proposed to solve ill-posed Cauchy problems for both linear and quasilinear PDEs. Next, various versions of the convexification method are developed for a number of Coefficient Inverse Problems.

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