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Best Approximation in Inner Product Spaces (CMS Books in Mathematics)
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About Best Approximation In Inner Product Spaces
Product Description This is the first systematic study of best approximation theory in inner product spaces and, in particular, in Hilbert space. Geometric considerations play a prominent role in developing and understanding the theory. The only prerequisites for reading the book is some knowledge of advanced calculus and linear algebra. Review From the reviews: MATHEMATICAL REVIEWS "This monograph contains the first comprehensive presentation of best approximation in inner product spaces (e.g., Hilbert spaces)…The author has succeeded very well in presenting clearly this first systematic study of best approximation in inner product spaces. The book is a valuable source for teaching graduate courses on approximation theory and related topics. Students with some basic knowledge in advanced calculus and linear algebra will be able to understand the text, which is written very smoothly. Since best approximation problems appear in many different branches, this monograph of about 300 pages will be a useful tool for researchers in mathematics, statistics, engineering, computer science and other fields of applications." F.R. Deutsch Best Approximation in Inner Product Spaces "The first comprehensive presentation of best approximation in inner product spaces." ― MATHEMATICAL REVIEWS "Nice introduction to inner-product spaces, with the particular application in mind. Discusses existence, uniqueness, characterization, and error of best approximations. Intended for graduate students, but mathematically sophisticated undergraduate could learn a lot from this book."― AMERICAN MATHEMATICAL MONTHLY "This monograph contains the first comprehensive presentation of best approximation in inner product spaces … . Moreover, at the end of each chapter there is a section with numerous exercises and one with notes in which the results are considered in a historical perspective. The author has succeeded very well in presenting clearly his first systematic study of approximation in inner product spaces. The book is a valuable source for teaching graduate courses … ." (Günther Nürnberger, Mathematical Reviews, Issue 2002 c) "Nice introduction to inner-product spaces, with the particular application in mind. Discusses existence, uniqueness, characterization, and error of best approximations. Intended for graduate students, but mathematically sophisticated undergraduates could learn a lot from this book. Twelve chapters, with exercise sets and historical notes." (American Mathematical Monthly, August-September, 2002) "The central concern of this book is the best approximation problem … . As an introduction to approximation theory, this book serves quite well. The background required is just basic analysis and linear algebra, a number of important topics are covered and the explanations are clear. Each chapter ends with a variety of exercises and detailed historical remarks. It has well been proofread … . I think this book is destined to serve a number of purposes." (David Yost, The Australian Mathematical Society Gazette, Vol. 29 (2), 2002) "This is an interesting and intriguing book, and to that extent it is already a success. Its principal aim is pedagogical; it is ‘the book of the course’ which the author has offered at the Pennsylvania State University for a number of years … . Each chapter is liberally supplied with exercises, the book contains a wealth of material and is a pleasure to read." (A. L. Brown, Zentralblatt MATH, Vol. 980, 2002) "The book is based on a graduate course on Best Approximation taught by the author for over twenty five years at the Pennsylvania State University. … Each chapter ends with a set of exercises and very interesting historical notes. Written by a well-known specialist in best approximation theory, the book contains a good treatment of best approximation in inner product spaces and can be used as a textbook for graduate courses or for self-study." (Stefan Cobzas, Studia Universitatis Babes-Bolyai Mathematica, Vo
