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  1. 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

  2. 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

  3. OWF: Matlab programs for computing orthogonal polynomials with respect to densely oscillating and exponentially decaying weight functions

    2014-04-23 08:26:04 | Datasets | Contributor(s): Walter Gautschi | doi:10.4231/R7NK3BZ7

    Software (in Matlab) is developed for computing variable-precision recurrence coefficients for orthogonal polynomials with respect to densely oscillating and exponentially decaying weight functions

    https://purr.purdue.edu/publications/1562

  4. POEXPINT: Polynomials orthogonal with respect to the exponential integral

    2014-04-28 14:27:31 | Datasets | Contributor(s): Walter Gautschi | doi:10.4231/R7X34VD9

    Matlab scripts for computing orthogonal polynomials whose weight function involves an exponential integral

    https://purr.purdue.edu/publications/1587

  5. 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

  6. Scripts for a discrete top-down Markov problem in approximation theory

    2016-10-04 13:55:59 | Datasets | Contributor(s): Walter Gautschi | doi:10.4231/R74Q7RX0

    Matlab scripts for a discrete top-down Markov problem in approximation theory

    https://purr.purdue.edu/publications/2149

  7. Scripts for the Ismail-Letessier-Askey (ILA) monotonicity conjecture for zeros of ultraspherical polynomials

    2016-10-04 15:40:40 | Datasets | Contributor(s): Walter Gautschi | doi:10.4231/R78G8HNQ

    Dataset contains matlab scripts for a paper dealing with the ILA monotonicity property for zeros of ultraspherical polynomials.

    https://purr.purdue.edu/publications/2184

  8. Software Repository for Gauss quadrature and Christoffel function

    2020-05-29 15:27:55 | Series/Dataset | Contributor(s): Walter Gautschi | doi:10.4231/78GE-EA31

    This series contains sets of MATLAB scripts related to Gauss quadrature and Christoffel function.

    https://purr.purdue.edu/publications/3498

  9. SOPQ: Symbolic OPQ

    2020-02-20 16:43:52 | Datasets | Contributor(s): Walter Gautschi | doi:10.4231/R7MW2F3P

    This includes symbolic versions of some of the more important OPQ routines.

    https://purr.purdue.edu/publications/1560

  10. Squared Abel polynomials

    2017-02-14 15:00:01 | Datasets | Contributor(s): Walter Gautschi | doi:10.4231/R74Q7RZF

    Matlab routine for the first N recurrence coefficients of squared Abel polynomials

    https://purr.purdue.edu/publications/2377

  11. SRJAC: Sub-range Jacobi polynomials

    2014-04-23 08:24:06 | Datasets | Contributor(s): Walter Gautschi | doi:10.4231/R7JS9NCR

    Matlab routines for computing sub-range Jacobi polynomials within the sub interval of [-1, 1]

    https://purr.purdue.edu/publications/1576

  12. Stieltjes-Wigert orthogonal polynomials with parameters σ and m

    2017-02-03 20:13:55 | Datasets | Contributor(s): Walter Gautschi | doi:10.4231/R7SF2T6N

    Matlab routine for the first N recurrence coefficients of Stieltjes-Wigert orthogonal polynomials with parameters σ and m

    https://purr.purdue.edu/publications/2375

  13. The first 100 recurrence coefficients for a Pollaczek-type weight function with parameters in the interval [1/10,10]

    2017-02-27 13:33:25 | Datasets | Contributor(s): Walter Gautschi | doi:10.4231/R73R0QV2

    The first 100 recurrence coefficients for the weight function w(x)=exp(-(1-x^2)^(-a)) on [-1,1], a=1/10, 1/2, 1, 2, . . . , 10

    https://purr.purdue.edu/publications/2393

  14. The first 100 recurrence coefficients for cardinal Bspline weight functions of order m=[1:10 12 15 20]

    2017-02-27 13:34:31 | Datasets | Contributor(s): Walter Gautschi | doi:10.4231/R77942P7

    The first 100 recurrence coefficients for the weight function w(x)=φ_m(x), m=1, 2, . . . , 10, 12, 15, 20

    https://purr.purdue.edu/publications/2415

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