This monograph is a valuable contribution to the highly topical and extremly productive field of regularisation methods for inverse and ill-posed problems. The author is an internationally outstanding and accepted mathematician in this field. In his book he offers a well-balanced mixture of basic and innovative aspects. He demonstrates new, differentiated viewpoints, and important examples for applications. The book demontrates the current developments in the field of regularization theory, such as multiparameter regularization and regularization in learning theory.
The book is written for graduate and Ph D students and researchers in mathematics, natural sciences, engeneering, and medicine.
Об авторе
Shuai Lu, Fudan University, Shanghai, PR China; Sergei V. Pereverzev, Johann Radon Institute for Computational and Applied Mathematics (RICAM), Austrian Academy of Sciences, Linz, Austria.Купите эту электронную книгу и получите еще одну БЕСПЛАТНО!
язык английский ● Формат PDF ● страницы 303 ● ISBN 9783110286496 ● Размер файла 2.8 MB ● издатель De Gruyter ● город Berlin/Boston ● опубликованный 2013 ● Издание 1 ● Загружаемые 24 месяцы ● валюта EUR ● Код товара 6293637 ● Защита от копирования Adobe DRM
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