32-digit values of the first 100 recurrence coefficients for orthogonal polynomials relative to the weight function w(x)=((1-om2*x^2)*(1-x^2))^(-1/2) on [-1,1], om2=.999, are computed by a modified-moment-based method using the routine sr_ellcheb(dig,32,100,.999), where dig=36 has been determined by the routine dig_ellcheb(100,.999,32,4,32), attesting to the high stability of the modified Chebyshev algorithm. (With the parameter om2 very close to 1, this routine will take some extra time to run.) For the modified moments, see Example 4.4 in Walter Gautschi, "On generating orthogonal polynomials", SIAM Journal on Statistical and Scientific Computing 3 (1982), 289-317. doi: 10.1137/0903018. The software provided in this dataset allows generating an arbitrary number N of recurrence coefficients for arbitrary parameter om2, 0 < om2 < 1, and for different precisions.

Researchers should cite this work as follows:

• Gautschi, W. (2016). 32-digit values of the first 100 recurrence coefficients for the weight function w(x)=[(1-.999*x^2)*(1-x^2)]^(-1/2) on [-1,1]. Purdue University Research Repository. doi:10.4231/R7N877RQ

  BibTex | EndNote

1. Chebyshev weight function
2. Computer Science
3. Computer Science (Dept)
4. Mathematics
5. Modification algorithms for orthogonal polynomials
6. Orthogonal polynomials
7. Walter Gautschi Archives
8. weight functions

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