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1. 

   Orthogonal polynomials relative to a generalized Marchenko–Pastur measure

   2020-07-30 18:53:43 | Datasets | Contributor(s): Walter Gautschi | doi:10.4231/7BZN-GM13

   A set of MATLAB scripts related to orthogonal polynomials relative to a generalized Marchenko–Pastur measure

   https://purr.purdue.edu/publications/3544

2. 

   32-digit values of the first 100 recurrence coefficients for the lower symmetric subrange Binet weight function on [-c,c], c=1

   2018-01-10 15:48:09 | Datasets | Contributor(s): Walter Gautschi | doi:10.4231/R7KP80BB

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

   https://purr.purdue.edu/publications/2847

3. 

   32-digit values of the first 100 recurrence coefficients for the lower subrange Binet weight function on [0,c], c=1

   2018-01-10 15:48:37 | Datasets | Contributor(s): Walter Gautschi | doi:10.4231/R7QF8R2P

   32-digit values of the first 100 recurrence coefficients for the weight function w(x)=-log(1-exp(-x)) on [0,c], c=1

   https://purr.purdue.edu/publications/2537

4. 

   Loading variable-precision recurrence coefficients

   2017-11-02 22:44:24 | Datasets | Contributor(s): Walter Gautschi | doi:10.4231/R7T151VZ

   Loading a text file of variable-precision recurrence coefficients into Matlab symbolic or double-precision arrays

   https://purr.purdue.edu/publications/2271

5. 

   32-digit values of the first 100 recurrence coefficients for the upper subrange Binet weight function on [c,Inf], c=1

   2017-10-24 12:00:29 | Datasets | Contributor(s): Walter Gautschi | doi:10.4231/R7CZ35CV

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

   https://purr.purdue.edu/publications/2531

6. 

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

   2017-10-24 11:59:42 | Datasets | Contributor(s): Walter Gautschi | doi:10.4231/R7PC30JZ

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

   https://purr.purdue.edu/publications/2533

7. 

   32-digit values of the first 100 recurrence coefficients for the half-range Freud weight function with exponent 10

   2017-10-23 16:05:20 | Datasets | Contributor(s): Walter Gautschi | doi:10.4231/R72N50FJ

   32-digit values of the first 100 recurrence coefficients for the weight function w(x)=x^mu*exp(-x^nu) on [0,Inf], mu=0, nu=10

   https://purr.purdue.edu/publications/2846

8. 

   32-digit values of the first 100 recurrence coefficients for the half-range Freud weight function with exponent 8

   2017-10-23 16:04:43 | Datasets | Contributor(s): Walter Gautschi | doi:10.4231/R76D5R5W

   32-digit values of the first 100 recurrence coefficients for the weight function w(x)=x^mu*exp(-x^nu) on [0,Inf], mu=0, nu=8

   https://purr.purdue.edu/publications/2845

9. 

   32-digit values of the first 100 recurrence coefficients for the half-range squared generalized Binet weight function with parameter 1/2

   2017-10-23 16:01:41 | Datasets | Contributor(s): Walter Gautschi | doi:10.4231/R7FT8J7R

   32-digit values of the first 100 recurrence coefficients for the weight function w(x)=log^2(1-a*exp(-x)) on [0,Inf], a = 1/2

   https://purr.purdue.edu/publications/2842

10. 

    32-digit values of the first 100 recurrence coefficients for the half-range squared Binet weight function

    2017-10-23 15:57:20 | Datasets | Contributor(s): Walter Gautschi | doi:10.4231/R7KK98Z2

    32-digit values of the first 100 recurrence coefficients for the weight function w(x)=log^2(1-exp(-x)) on [0,Inf]

    https://purr.purdue.edu/publications/2841

11. 

    32-digit values of the first 100 recurrence coefficients for the half-range generalized Binet weight function with parameter 1/2

    2017-10-23 15:04:28 | Datasets | Contributor(s): Walter Gautschi | doi:10.4231/R7QC01NW

    32-digit values of the first 100 recurrence coefficients for the half-range generalized Binet weight function w(x)=-log(1-a*exp(-x)) on [0,Inf], a = 1/2

    https://purr.purdue.edu/publications/2840

12. 

    32-digit values of the first 100 recurrence coefficients for the squared generalized Binet weight function with parameter 1/2

    2017-10-23 15:56:41 | Datasets | Contributor(s): Walter Gautschi | doi:10.4231/R7V40SC7

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

    https://purr.purdue.edu/publications/2839

13. 

    OPQ: A Matlab suite of programs for generating orthogonal polynomials and related quadrature rules

    2017-03-29 14:22:17 | Datasets | Contributor(s): Walter Gautschi | doi:10.4231/R7959FHP

    This is a set of Matlab codes and data files for generating orthogonal polynomials and related quadrature rules.

    https://purr.purdue.edu/publications/1582

14. 

    RMOP: Repeated modifications of orthogonal polynomials

    2014-04-23 08:25:49 | Datasets | Contributor(s): Walter Gautschi | doi:10.4231/R7F18WNB

    Matlab routines and data sets that compute repeated modifications of orthogonal polynomials

    https://purr.purdue.edu/publications/1577