Datasets: All

  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

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