Numerical Methods for the Solution of Ill-Posed Problems, Hardcover by Tikhon...

$ 33.73

Publication Year: 1995 Author: A. N. Tikhonov Item Length: 11.7 in Item Weight: 43 Oz Publication Name: Numerical Methods for the Solution of Ill-Posed Problems Book Title: Numerical Methods for the Solution of Ill-Posed Problems ISBN: 9780792335832 Subject Area: Mathematics Subject: Functional Analysis, Numerical Analysis, Mathematical Analysis Type: Textbook Language: English Number of Pages: IX, 253 Pages Publisher: Springer Netherlands Item Width: 8.3 in Format: Hardcover width: 8.3 in Series: Mathematics and Its Applications Ser.

Description

Numerical Methods for the Solution of Ill-Posed Problems, Hardcover by Tikhon.... But such problems often turn out to be ill-posed, having no solution, or a non-unique solution, and/or an unstable solution. The theory of ill-posed problems has advanced greatly since A. N. Tikhonov laid its foundations, the Russian original of this book (1990) rapidly becoming a classical monograph on the topic. Numerical Methods for the Solution of Ill-Posed Problems, Hardcover by Tikhonov, A. N.; Goncharsky, A. V.; Stepanov, V. V.; Yagola, A. G., ISBN 079233583X, ISBN-13 9780792335832, Like New Used, Free shipping in the US Many problems in science, technology and engineering are posed in the form of operator equations of the first kind, with the operator and RHS approximately known. But such problems often turn out to be ill-posed, having no solution, or a non-unique solution, and/or an unstable solution. Non-existence and non-uniqueness can usually be overcome by settling for `generalised' solutions, leading to the need to develop regularising algorithms. The theory of ill-posed problems has advanced greatly since A. N. Tikhonov laid its foundations, the Russian original of this book (1990) rapidly becoming a classical monograph on the topic. The present edition has been completely updated to consider linear ill-posed problems with or without a priori constraints (non-negativity, monotonicity, convexity, etc.). Besides the theoretical material, th also contains a FORTRAN program library. Audience: Postgraduate students of physics, mathematics, chemistry, economics, engineering. Engineers and scientists interested in data processing and the theory of ill-posed problems.