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

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 f...

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Библиографическая информация
Главный автор: Klibanov, M. V. (Michael V.)
Другие авторы: Li, Jingzhi
Формат: Электронная книга
Язык:English
Публикация: Berlin ; Boston De Gruyter, [2021]
Серии:Inverse and ill-posed problems series ; v. 63.
Предметы:
Online-ссылка:EBSCOhost
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Описание
Итог: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.
Объем:1 online resource (XVI, 328 p.).
ISBN:3110745488
9783110745481