32-digit values of the first 100 recurrence coefficients for orthogonal polynomials relative to the weight function w(x)=-log(1-exp(-x)) on [0,c], c=1, are computed by a moment-based method using the routine sr_lsrbinet(dig,100,1,32), where dig=528 has been determined by the routine dig_lsrbinet(100,1,520,4,32). The routines in this dataset allow generating the first N recurrence coefficients for any N and to any accuracy, also for lower subrange polynomials orthogonal on [0,c] for any 0 < c < Inf.

Researchers should cite this work as follows:

• Walter Gautschi (2017). 32-digit values of the first 100 recurrence coefficients for a lower subrange Binet weight function. (Version 2.0). Purdue University Research Repository. doi:10.4231/R7T151TH

  BibTex | EndNote

1. Binet-like weight functions
2. Computer Science
3. Computer Science (Dept)
4. Mathematics
5. Matlab
6. Modification algorithms for orthogonal polynomials
7. Orthogonal polynomials
8. Walter Gautschi Archives
9. weight functions

The dataset consists of one text file and four Matlab scripts. This is an updated and improved dataset.