Convergence Acceleration Techniques
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.
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.
Nanotechnology Conference and Trade Show (2003: Feb. 23-27, San Francisco, CA)
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)
Article - Conference proceedings
© 2003 Computational Publications, All rights reserved.
01 Feb 2003