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(Ebook) Inverse Problems and Carleman Estimates: Global Uniqueness, Global Convergence and Experimental Data by Michael V. Klibanov, Jingzhi Li

SKU: EBN-34603950

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Instant download (eBook) Inverse Problems and Carleman Estimates: Global Uniqueness, Global Convergence and Experimental Data after payment.

Authors:Michael V. Klibanov, Jingzhi Li

Pages:344 pages.

Year:2021

Editon:63

Publisher:De Gruyter

Language:english

File Size:6.3 MB

Format:pdf

Categories: Ebooks

Product desciption

(Ebook) Inverse Problems and Carleman Estimates: Global Uniqueness, Global Convergence and Experimental Data by Michael V. Klibanov, Jingzhi Li

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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