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.

Meeting Name

International Conference on Modeling and Simulation of Microsystems (2002: Apr. 21-25, San Juan, Puerto Rico)

Department(s)

Physics

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

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Publication Date

01 Apr 2002

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