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  1. Agriculture
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  13. Modification algorithms for orthogonal polynomials
  14. Orthogonal polynomials
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  19. Walter Gautschi Archives
  20. weight functions

  1. Generalized Laguerre polynomials

    2016-12-15 20:03:31 | Contributor(s): Walter Gautschi | doi:10.4231/R7K07280

    Matlab routines for the first N recurrence coefficients of generalized Laguerre polynomials

    https://purr.purdue.edu/publications/2332

  2. Jacobi polynomials

    2016-12-15 20:02:25 | Contributor(s): Walter Gautschi | doi:10.4231/R7PR7SZ5

    Matlab routines for the first N recurrence coefficients of Jacobi polynomials

    https://purr.purdue.edu/publications/2331

  3. 32-digit values of the first 100 recurrence coefficients for the bimodal weight function with parameter ε=.001

    2017-01-03 15:19:36 | Contributor(s): Walter Gautschi | doi:10.4231/R7TH8JPW

    32-digit values of the first 100 recurrence coefficients for the weight function w(x)=exp[-(x^2-1)^2/(4*ε)] on [-Inf,Inf], ε=.001

    https://purr.purdue.edu/publications/2330

  4. 32-digit values of the first 100 recurrence coefficients for the bimodal weight function with parameter ε=.005

    2017-01-03 15:18:51 | Contributor(s): Walter Gautschi | doi:10.4231/R7Z899DM

    32-digit values of the first 100 recurrence coefficients for the weight function w(x)=exp[-(x^2-1)^2/(4*ε)] on [-Inf,Inf], ε=.005

    https://purr.purdue.edu/publications/2329

  5. 32-digit values of the first 100 recurrence coefficients for the bimodal weight function with parameter ε=.02

    2017-01-03 15:19:10 | Contributor(s): Walter Gautschi | doi:10.4231/R7319SWH

    32-digit values of the first 100 recurrence coefficients for the weight function w(x)=exp[-(x^2-1)^2/(4*ε)] on [-Inf,Inf], ε=.02

    https://purr.purdue.edu/publications/2328

  6. 32-digit values of the first 100 recurrence coefficients for the bimodal weight function with parameter ε=.1

    2017-01-03 15:17:56 | Contributor(s): Walter Gautschi | doi:10.4231/R76T0JNX

    32-digit values of the first 100 recurrence coefficients for the weight function w(x)=exp[-(x^2-1)^2/(4*ε)] on [-Inf,Inf], ε=.1

    https://purr.purdue.edu/publications/2327

  7. 32-digit values of the first 100 recurrence coefficients for the bimodal weight function with parameter ε=1

    2017-01-03 15:20:03 | Contributor(s): Walter Gautschi | doi:10.4231/R7BK19B6

    32-digit values of the first 100 recurrence coefficients for the weight function w(x)=exp[-(x^2-1)^2/(4*ε)] on [-Inf,Inf], ε=1

    https://purr.purdue.edu/publications/2326

  8. MEIGS Soil Ecology Project - Turco Lab 2014-2015

    2016-12-12 16:32:00 | Contributor(s): Ronald F. Turco Jr., Andrea Clavijo, Marianne Bischoff Gray, Lori A Hoagland, Jacob D Widner | doi:10.4231/R79W0CG7

    The purpose of this project was to study the effects of organic and conventional farming methods on soil microbial ecosystems by monitoring greenhouse gas (GHG) emissions from the soil during the planting season.

    https://purr.purdue.edu/publications/2258

  9. Code and Dataset for Pattern Recognition Benchmarks

    2016-12-12 19:21:33 | Contributor(s): Jonas Hepp, Yellamraju Tarun, Mireille Boutin | doi:10.4231/R7G73BPN

    This code computed a sequence of bounds for the error rate of a pattern recognition method. The bounds correspond to the error rate that one would expect to achieve by simply selecting features at random and thresholding the feature (TARP) approach.

    https://purr.purdue.edu/publications/2030

  10. 32-digit values of the first 100 recurrence coefficients, obtained from modified moments, for the Laguerre weight function multiplied by a logarithmically singular function

    2016-12-12 16:06:52 | Contributor(s): Walter Gautschi | doi:10.4231/R7M043CX

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

    https://purr.purdue.edu/publications/2301

  11. 32-digit values of the first 100 recurrence coefficients for the Schroedinger weight function with exponent mu=5

    2016-12-09 15:55:18 | Contributor(s): Walter Gautschi | doi:10.4231/R7QR4V3Z

    32-digit values of the first 100 recurrence coefficients for the weight function w(x)=x^mu*exp(-x^4/16) on [0,Inf], mu=5

    https://purr.purdue.edu/publications/2322

  12. 32-digit values of the first 100 recurrence coefficients for the Fermi-Dirac-type weight function with exponent r=4

    2016-12-09 14:47:33 | Contributor(s): Walter Gautschi | doi:10.4231/R708639Z

    32-digit values of the first 100 recurrence coefficients for orthogonal polynomials relative to the weight function w(x)=[1/(exp(x)+1)]^r on [0,Inf], r=4

    https://purr.purdue.edu/publications/2320

  13. 32-digit values of the first 100 recurrence coefficients for the half-range Freud weight function with exponents mu=0, nu=4

    2016-12-09 14:38:17 | Contributor(s): Walter Gautschi | doi:10.4231/R7416V2R

    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=4

    https://purr.purdue.edu/publications/2321

  14. 32-digit values of the first 100 recurrence coefficients for the Fermi-Dirac-type weight function with exponent r=2

    2016-12-09 14:37:41 | Contributor(s): Walter Gautschi | doi:10.4231/R77S7KR9

    32-digit values of the first 100 recurrence coefficients for orthogonal polynomials relative to the weight function w(x)=[1/(exp(x)+1)]^r on [0,Inf], r=2

    https://purr.purdue.edu/publications/2318

  15. 32-digit values of the first 100 recurrence coefficients for the weight function having an algebraic/logarithmic singularity with exponent a=1/2 and power b=3

    2016-12-08 13:52:47 | Contributor(s): Walter Gautschi | doi:10.4231/R7H70CSK

    32-digit values of the first 100 recurrence coefficients for the weight function w(x)=x^a*[log(1/x)]^b on [0,1], a=1/2, b=3

    https://purr.purdue.edu/publications/2314

  16. 32-digit values of the first 100 recurrence coefficients, obtained from moments, for a radiative transfer weight function with parameter c=2/3

    2016-12-08 13:26:23 | Contributor(s): Walter Gautschi | doi:10.4231/R7N014H9

    32-digit values of the first 100 recurrence coefficients for the weight function w(x)=exp(-1/x) on [0,c], c=2/3

    https://purr.purdue.edu/publications/2315

  17. Biological, chemical and flow characteristics of five river sampling sites in the Wabash River watershed near Lafayette, Indiana – 2015.

    2016-12-09 18:22:01 | Contributor(s): Sara Peel, Megan Haas, Ronald Turco, Jr | doi:10.4231/R7RR1W7B

    Water quality data collected from the Lafayette area watershed in 2015. There are five samples sites located on Little Pine Creek, Elliot Ditch, Little Wea Creek and two sites on the Wabash River.

    https://purr.purdue.edu/publications/2313

  18. Biological, chemical and flow characteristics of five river sampling sites in the Wabash River watershed near Lafayette, Indiana – 2014.

    2016-12-09 18:22:30 | Contributor(s): Megan Haas, Sara Peel, Ronald F. Turco, Jr. | doi:10.4231/R7WH2N0H

    Water quality data collected from the Lafayette area watershed in 2014. There are five samples sites located on Little Pine Creek, Elliot Ditch, Little Wea Creek and two sites on the Wabash River.

    https://purr.purdue.edu/publications/2312

  19. Biological, chemical and flow characteristics of five river sampling sites in the Wabash River watershed near Lafayette, Indiana – 2013.

    2016-12-09 18:22:55 | Contributor(s): Megan Haas, Sara Peel, Ronald F. Turco Jr. | doi:10.4231/R71834GS

    Water quality data collected from the Lafayette area watershed in 2013. There are five samples sites located on Little Pine Creek, Elliot Ditch, Little Wea Creek and two sites on the Wabash River.

    https://purr.purdue.edu/publications/2311

  20. Purdue University Buildings Demolition, Construction Images, November 2016, POTR Building Camera 1

    2016-12-09 19:15:39 | Contributor(s): Darcy M. Bullock, Alexander M. Hainen, Andrew T. Sydelko, David Burford, Michael Witt | doi:10.4231/R7513W5P

    Two iconic buildings on the Purdue University campus, the Engineering Administration Building and the retired Heating and Power Plant-North, were targeted for demolition in 2012 to make way for the construction of the Wilmeth Active Learning Center.

    https://purr.purdue.edu/publications/2309

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