32-digit values of the first 100 recurrence coefficients for the square Binet weight function

Listed in Datasets

By Walter Gautschi

Purdue University

32-digit values of the first 100 recurrence coefficients for the weight function w(x)=[log(1-exp(-|x|))]^2 on [-Inf, Inf]

Version 1.0 - published on 14 Aug 2017 doi:10.4231/R7KW5D2N - cite this Archived on 15 Sep 2017

Licensed under Attribution 3.0 Unported

Description

32-digit values of the first 100 recurrence coefficients for orthogonal polynomials relative to the weight function w(x)=[log(1-exp(-|x|))]^2 on [-Inf, Inf] are computed by a moment-based method using the routine sr_sqbinet(dig,32,100), where dig=116 has been determined by the routine dig_sqbinet(100,108,4,32). The software provided in this dataset allows generating an arbitrary number N of recurrence coefficients to an arbitrary precision.

Cite this work

Researchers should cite this work as follows:

Tags

Notes

The dataset consists of one text file and four Matlab scripts.

The Purdue University Research Repository (PURR) is a university core research facility provided by the Purdue University Libraries and the Office of the Executive Vice President for Research and Partnerships, with support from additional campus partners.