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.
Recommended Citation
U. D. Jentschura et al., "Convergence Acceleration Techniques," Proceedings of the Nanotechnology Conference and Trade Show (2003, San Francisco, CA), vol. 2, pp. 535 - 537, Computational Publications, Feb 2003.
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.
Publication Date
01 Feb 2003
