Title

Convergence Acceleration Techniques

Abstract

This work describes numerical methods that are useful in many areas: examples include statistical modelling (bioinformatics, computational biology), theoretical physics, and even pure mathematics. The methods are primarily useful for the acceleration of slowly convergent and the summation of divergent series that are ubiquitous in relevant applications. The computing time is reduced in many cases by orders of magnitude.

Meeting Name

Nanotechnology Conference and Trade Show (2003: Feb. 23-27, San Francisco, CA)

Department(s)

Physics

Keywords and Phrases

Acceleration; Algorithms; Approximation Theory; Computational Methods; DNA; Functions; Maxwell Equations; Parameter Estimation; Problem Solving; RNA; Statistical Methods; Bioinformatics; Delta Transformation; Numerical Instabilities; Riemann Zeta Function; Convergence Of Numerical Methods

International Standard Book Number (ISBN)

972842209

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2003 Computational Publications, All rights reserved.

This document is currently not available here.

Share

 
COinS