Soft Computing for Data Mining Applications

GO Soft Computing for Data Mining Applications


Author: Janusz Kacprzyk, Janusz Kacprzyk., Luiza Macedo Mourelle, Nadia Nedjah
Type: eBook
Language: English
Released: 2009
Publisher: Springer
Page Count: 354
Format: pdf
ISBN-10: No
ISBN-13: 9783540769941
Tags:Soft Computing for Data Mining Applications, tutorials, pdf, djvu, chm, epub, ebook, book, torrent, downloads, rapidshare, filesonic, hotfile, fileserve


Description:
This is an introduction to modern Banach space theory, in which applications to other areas such as harmonic analysis, function theory, orthogonal series, and approximation theory are also given prominence. The author begins with a discussion of weak topologies, weak compactness, and isomorphisms of Banach spaces before proceeding to the more detailed study of particular spaces. The book is intended to be used with graduate courses in Banach space theory, so the prerequisites are a background in functional, complex, and real analysis. As the only introduction to the modern theory of Banach spaces, it will be an essential companion for professional mathematicians working in the subject, or to those interested in applying it to other areas of analysis.