Tags: Computer Science

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

    2017-10-18 20:08:21 | Datasets | Contributor(s): Walter Gautschi | doi:10.4231/R7862DNF

    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

  2. 32-digit values of the first 100 recurrence coefficients for the half-range Freud weight function with exponent 10

    2017-10-13 14:56:09 | 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

  3. 32-digit values of the first 100 recurrence coefficients for the half-range Freud weight function with exponent 8

    2017-10-13 14:54:27 | 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

  4. 32-digit values of the first 100 recurrence coefficients for the half-range Freud weight function with exponent 6

    2017-10-13 14:42:56 | Datasets | Contributor(s): Walter Gautschi | doi:10.4231/R7B56GW6

    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=6

    https://purr.purdue.edu/publications/2844

  5. 32-digit values of the first 100 recurrence coefficients for the half-range squared generalized Binet weight function with parameter 1/2

    2017-10-12 13:00:53 | 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

  6. 32-digit values of the first 100 recurrence coefficients for the half-range squared Binet weight function

    2017-10-12 12:59:18 | 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

  7. 32-digit values of the first 100 recurrence coefficients for the half-range generalized Binet weight function with parameter 1/2

    2017-10-12 12:56:47 | 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

  8. 32-digit values of the first 100 recurrence coefficients for the squared generalized Binet weight function with parameter 1/2

    2017-10-12 12:47:21 | 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

  9. 32-digit values of the first 100 recurrence coefficients for the generalized Binet weight function with parameter 1/2

    2017-10-12 12:45:27 | Datasets | Contributor(s): Walter Gautschi | 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

  10. 32-digit values of the first 100 recurrence coefficients for the square Binet weight function

    2017-07-26 12:44:46 | Datasets | Contributor(s): Walter Gautschi | 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

  11. 32-digit values of the first 100 recurrence coefficients for the Binet weight function

    2017-07-26 12:43:35 | Datasets | Contributor(s): Walter Gautschi | doi:10.4231/R7P55KH7

    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

  12. 32-digit values of the first 100 recurrence coefficients for a lower subrange Binet weight function

    2017-05-30 15:10:18 | Datasets | Contributor(s): Walter Gautschi | doi:10.4231/R7CN71XS

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

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

  13. 32-digit values of the first 100 recurrence coefficients for an upper subrange Binet weight function

    2017-05-30 15:08:16 | Datasets | Contributor(s): Walter Gautschi | doi:10.4231/R7JD4TTZ

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

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

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

    2017-05-18 13:57:34 | Datasets | Contributor(s): Walter Gautschi | doi:10.4231/R7DN4331

    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 a Binet-like weight function

    2017-05-09 13:19:20 | Datasets | Contributor(s): Walter Gautschi | 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

  16. 32-digit values of the first 100 recurrence coefficients for a half-range Binet-like weight function

    2017-05-09 13:18:02 | Datasets | Contributor(s): Walter Gautschi | 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

  17. 32-digit values of the first 64 recurrence coefficients for the Krylov-Pal'tsev weight function on [0,Inf] with exponent 1

    2017-05-02 19:16:23 | Datasets | Contributor(s): Walter Gautschi | 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

  18. 32-digit values of the first 63 recurrence coefficients for the Krylov-Pal'tsev weight function on [0,Inf] with exponent 3

    2017-05-02 18:30:41 | Datasets | Contributor(s): Walter Gautschi | 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

  19. 32-digit values of the first 62 recurrence coefficients for the Krylov-Pal'tsev weight function on [0,Inf] with exponent 5

    2017-05-02 18:29:33 | Datasets | Contributor(s): Walter Gautschi | doi:10.4231/R7FQ9TMB

    32-digit values of the first 62 recurrence coefficients for the weight function w(x)=x^a*exp(-x)*log(1+1/x) on [0,Inf], a=5

    https://purr.purdue.edu/publications/2496

  20. 32-digit values of the first 65 recurrence coefficients for the Krylov-Pal'tsev weight function on [0,Inf] with exponent 1/2

    2017-05-02 18:28:09 | Datasets | Contributor(s): Walter Gautschi | doi:10.4231/R7KH0KBM

    32-digit values of the first 65 recurrence coefficients for the weight function w(x)=x^a*exp(-x)*log(1+1/x) on [0,Inf], a=1/2

    https://purr.purdue.edu/publications/2497

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