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.
Giới thiệu về tác giả
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.
Ngôn ngữ Anh ● định dạng PDF ● Trang 303 ● ISBN 9783110286496 ● Kích thước tập tin 2.8 MB ● Nhà xuất bản De Gruyter ● Thành phố Berlin/Boston ● Được phát hành 2013 ● Phiên bản 1 ● Có thể tải xuống 24 tháng ● Tiền tệ EUR ● TÔI 6293637 ● Sao chép bảo vệ Adobe DRM
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