Table of contents
About this book
Approximation theory is that area of analysis which is concerned with the ability to approximate functions by simpler and more easily calculated functions. It is an area which, like many other fields of analysis, has its primary roots in the mathematics.The need for function approximation and classification arises in many branches of applied mathematics, computer science and data mining in particular.
This edited volume comprises of 14 chapters, including several overview Chapters, which provides an up-to-date and state-of-the art research covering the theory and algorithms of function approximation and classification. Besides research articles and expository papers on theory and algorithms of function approximation and classification, papers on numerical experiments and real world applications were also encouraged.
The Volume is divided into 2 parts: Part-I: Function Approximation and Classification – Theoretical Foundations and Part-II: Function Approximation and Classification – Success Stories and Real World Applications.
Editors and affiliations
- DOI https://doi.org/10.1007/978-3-642-01536-6
- Copyright Information Springer Berlin Heidelberg 2009
- Publisher Name Springer, Berlin, Heidelberg
- eBook Packages Engineering
- Print ISBN 978-3-642-01535-9
- Online ISBN 978-3-642-01536-6
- Series Print ISSN 1860-949X
- Series Online ISSN 1860-9503
- About this book