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 International Conference on Modeling and Simulation of Microsystems (2002, San Juan, Puerto Rico), pp. 411 - 413, Apr 2002.
International Conference on Modeling and Simulation of Microsystems (2002: Apr. 21-25, San Juan, Puerto Rico)
Keywords and Phrases
Acceleration; Algorithms; Approximation Theory; Computational Methods; Convergence Of Numerical Methods; Functions; Mathematical Transformations; Bioinformatics; Computational Biology; Computational Techniques; Numerical Approximation And Analysis; Microbiology
Article - Conference proceedings
01 Apr 2002