Editors:
- Proceedings of a conference in a major conference series on the topic
Buy it now
Buying options
Tax calculation will be finalised at checkout
Other ways to access
This is a preview of subscription content, log in via an institution to check for access.
Table of contents (30 papers)
-
Front Matter
-
Imaging and Data Mining
-
Front Matter
-
-
Numerical Simulation
-
Front Matter
-
-
Data Fitting and Modelling
-
Front Matter
-
About this book
Approximation methods are vital in many challenging applications of computational science and engineering.
This is a collection of papers from world experts in a broad variety of relevant applications, including pattern recognition, machine learning, multiscale modelling of fluid flow, metrology, geometric modelling, tomography, signal and image processing.
It documents recent theoretical developments which have lead to new trends in approximation, it gives important computational aspects and multidisciplinary applications, thus making it a perfect fit for graduate students and researchers in science and engineering who wish to understand and develop numerical algorithms for the solution of their specific problems.
An important feature of the book is that it brings together modern methods from statistics, mathematical modelling and numerical simulation for the solution of relevant problems, with a wide range of inherent scales.
Contributions of industrial mathematicians, including representatives from Microsoft and Schlumberger, foster the transfer of the latest approximation methods to real-world applications.
Editors and Affiliations
-
Department Mathematik, Universität Hamburg, Hamburg, Germany
Armin Iske
-
Department of Mathematics, University of Leicester, Leicester, UK
Jeremy Levesley
Bibliographic Information
Book Title: Algorithms for Approximation
Book Subtitle: Proceedings of the 5th International Conference, Chester, July 2005
Editors: Armin Iske, Jeremy Levesley
DOI: https://doi.org/10.1007/978-3-540-46551-5
Publisher: Springer Berlin, Heidelberg
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2007
Hardcover ISBN: 978-3-540-33283-1Published: 30 October 2006
Softcover ISBN: 978-3-642-06994-9Published: 14 October 2010
eBook ISBN: 978-3-540-46551-5Published: 13 December 2006
Edition Number: 1
Number of Pages: XIII, 389
Topics: Applications of Mathematics, Computational Mathematics and Numerical Analysis, Approximations and Expansions, Special Functions, Mathematics of Computing, Mathematical and Computational Engineering