The alternate congruo-harmonic series Part 2 -- Accelerations of convergence
David Pouvreau (FST)

TL;DR
This paper develops and compares algorithms to accelerate the slow infra-linear convergence of the alternate congruo-harmonic series, revealing diverse convergence speeds and discussing potential optimality and open problems.
Contribution
It introduces a family of algorithms based on continued fractions to accelerate the series' convergence and analyzes their asymptotic behavior.
Findings
Algorithms can accelerate convergence infra-linearly with diverse speeds
Some methods achieve linear or super-linear convergence
The paper discusses potential optimality and open problems in convergence acceleration
Abstract
For every couple (p;q) of strictly positive integers, the `` alternate congruo-harmonic '' series parametrized by (p;q), whose general term is (-1)^k/(pk+q), converges infra-linearly and very slowly. On the basis of a generalized continued fraction expansion of the partial rest of the series, this paper elaborates a family of algorithms which accelerate its convergence. The convergence speed of the sequences generated by these algorithms are compared. A precise asymptotic analysis is conducted, which reveals the possibility to accelerate the convergence either infra-linearly (but with an infinite diversity of possible speeds), or linearly (with a convergence rate that appears universal relatively to (p;q)), or super-linearly, by means of sequences extractions. Several open problems are also discussed, which concern the relative `` performance '' of the algorithms thus built and the…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMathematical functions and polynomials · Iterative Methods for Nonlinear Equations · Fractional Differential Equations Solutions
