Datasets: All

Popular tags
  1. computerscience x
  2. modificationalgorithmsfororthogonalpolynomials x
  3. weightfunctions x
  1. Agriculture
  2. Agronomy
  3. Civil Engineering
  4. Computer Science
  5. Crops
  6. Crop Science
  7. ENADALC
  8. Forestry and Natural Resources
  9. Gaussian quadrature
  10. LARS
  11. Mathematics
  12. Matlab
  13. Modification algorithms for orthogonal polynomials
  14. Orthogonal polynomials
  15. Purdue University
  16. Remote Sensing
  17. Soil Science
  18. spectral observations
  19. Walter Gautschi Archives
  20. weight functions

  1. Gauss quadrature and Christoffel function for modified Bessel weight functions

    2020-05-22 14:29:36 | Datasets | Contributor(s): Walter GautschiORCID logo | doi:10.4231/8WR2-AT61

    A set of MATLAB scripts related to Gauss quadrature and Christoffel function for modified Bessel weight functions

    https://purr.purdue.edu/publications/3431

  2. Gauss quadrature and Christoffel function for the Airy weight function

    2020-05-22 14:30:02 | Datasets | Contributor(s): Walter GautschiORCID logo | doi:10.4231/M760-MS70

    A set of MATLAB scripts related to Gauss quadrature and Christoffel function for the Airy weight function

    https://purr.purdue.edu/publications/3430

  3. 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 GautschiORCID logo | 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

  4. 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 GautschiORCID logo | 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

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

    2017-10-23 13:09:14 | Datasets | Contributor(s): Walter GautschiORCID logo | doi:10.4231/R7ZW1J3N

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

    https://purr.purdue.edu/publications/2838

  14. 32-digit values of the first 100 recurrence coefficients for the half-range Binet weight function

    2017-08-14 16:39:49 | Datasets | Contributor(s): Walter GautschiORCID logo | doi:10.4231/R7PC30HH

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

    https://purr.purdue.edu/publications/2538

  15. 32-digit values of the first 100 recurrence coefficients for the square Binet weight function

    2017-08-14 16:43:13 | Datasets | Contributor(s): Walter GautschiORCID logo | doi:10.4231/R7KW5D2N

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

    https://purr.purdue.edu/publications/2593

  16. 32-digit values of the first 200 recurrence coefficients for the weight function w(x)=[log(1/x)]^2 on [0,1]

    2017-08-14 16:36:18 | Datasets | Contributor(s): Walter GautschiORCID logo | doi:10.4231/R7W95769

    32-digit values of the first 200 recurrence coefficients for the weight function w(x)=x^a*[log(1/x)]^b on [0,1], a=0, b=2

    https://purr.purdue.edu/publications/2269

  17. 32-digit values of the first 100 recurrence coefficients for a Binet-like weight function

    2017-05-31 12:22:27 | Datasets | Contributor(s): Walter GautschiORCID logo | doi:10.4231/R73B5X5B

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

    https://purr.purdue.edu/publications/2521

  18. 32-digit values of the first 100 recurrence coefficients for a half-range Binet-like weight function

    2017-05-24 19:24:52 | Datasets | Contributor(s): Walter GautschiORCID logo | doi:10.4231/R7736NX3

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

    https://purr.purdue.edu/publications/2522

  19. 32-digit values of the first 64 recurrence coefficients for the Krylov-Pal'tsev weight function on [0,Inf] with exponent 1

    2017-05-10 19:23:36 | Datasets | Contributor(s): Walter GautschiORCID logo | doi:10.4231/R72J68W1

    32-digit values of the first 64 recurrence coefficients for the weight function w(x)=x^a*exp(-x)*log(1+1/x) on [0,Inf], a=1

    https://purr.purdue.edu/publications/2494

  20. 32-digit values of the first 63 recurrence coefficients for the Krylov-Pal'tsev weight function on [0,Inf] with exponent 3

    2017-05-10 19:22:50 | Datasets | Contributor(s): Walter GautschiORCID logo | doi:10.4231/R79Z92XF

    32-digit values of the first 63 recurrence coefficients for the weight function w(x)=x^a*exp(-x)*log(1+1/x) on [0,Inf], a=3

    https://purr.purdue.edu/publications/2495

The Purdue University Research Repository (PURR) is a university core research facility provided by the Purdue University Libraries and the Office of the Executive Vice President for Research and Partnerships, with support from additional campus partners.
In accordance with Purdue policies, all persons have equal access to Purdue University’s educational programs, services and activities, without regard to race, religion, color, sex, age, national origin or ancestry, genetic information, marital status, parental status, sexual orientation, gender identity and expression, disability or status as a veteran. See Purdue’s Nondiscrimination Policy Statement. If you have any questions or concerns regarding these policies, please contact the Office of the Vice President for Ethics and Compliance at vpec@purdue.edu or 765-494-5830.