32-digit values of the first 100 recurrence coefficients for orthogonal polynomials relative to the weight function w(x)=-log(1-exp(-x)) on [c,Inf], c=1, are computed by a moment-based method using the routine sr_usrbinet(dig,100,1,32), where dig=128 has been determined by the routine dig_usrbinet(100,1,120,4,32). The routines in this dataset allow generating the first N recurrence coefficients for any N and to any accuracy, also for upper subrange polynomials orthogonal on [c,Inf] 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 an upper subrange Binet weight function. (Version 2.0). Purdue University Research Repository. doi:10.4231/R7JM27SS

  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 version.