Convergence Acceleration Techniques

Aksenov, Jentschura, Mohr, Savageau. Soff
Universität Freiburg, DE

Keywords: Numerical Algortihms, Computational DNA analysis

Abstract:
This work describes numerical methods which 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 which are ubiquitous in relevant applications. The computing time is reduced in many cases by orders of magnitude.

NSTI Nanotech 2003 Conference Technical Program Abstract