© 2007

Algorithms for Approximation

Proceedings of the 5th International Conference, Chester, July 2005

  • Armin Iske
  • Jeremy Levesley


  • Proceedings of a conference in a major conference series on the topic

Conference proceedings

Table of contents

  1. Front Matter
    Pages I-XIII
  2. Imaging and Data Mining

    1. Front Matter
      Pages 1-1
    2. Christopher J. C. Burges
      Pages 3-18
    3. Stephan Didas, Mrázek Pavel, Joachim Weickert
      Pages 51-60
    4. Christina Orphanidou, Irene M. Moroz, Stephen J. Roberts
      Pages 61-69
    5. Jane L. Terry, Andrew Crampton, Chris J. Talbot
      Pages 71-80
  3. Numerical Simulation

  4. Statistical Approximation Methods

    1. Front Matter
      Pages 146-146
    2. Alistair B. Forbes
      Pages 167-185
    3. Daniel Busby, Chris L. Farmer, Armin Iske
      Pages 187-196
  5. Data Fitting and Modelling

    1. Front Matter
      Pages 198-198
    2. Rick K. Beatson, Michael K. Langton
      Pages 199-218

About these proceedings


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.


Alignment Markov Numerical integration Regression STATISTICA Signal algorithms data mining image processing metrology numerical methods numerical quadrature simulation statistics

Editors and affiliations

  • Armin Iske
    • 1
  • Jeremy Levesley
    • 2
  1. 1.Department MathematikUniversität HamburgHamburgGermany
  2. 2.Department of MathematicsUniversity of LeicesterLeicesterUK

Bibliographic information