Convergence Acceleration Techniques
Numerical Analysis
2025-10-20 v2 Numerical Analysis
Mathematical Physics
math.MP
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.
Cite
@article{arxiv.math/0202009,
title = {Convergence Acceleration Techniques},
author = {U. D. Jentschura and S. V. Aksenov and P. J. Mohr and M. A. Savageau and G. Soff},
journal= {arXiv preprint arXiv:math/0202009},
year = {2025}
}
Comments
6 pages, LaTeX; provides an easy-to-understand introduction to the field of convergence acceleration