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  9. Gaussian quadrature
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  14. Orthogonal polynomials
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  19. Walter Gautschi Archives
  20. weight functions

  1. Code and Dataset for Pattern Recognition Benchmarks

    2016-12-12 19:21:33 | Datasets | 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

  2. 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 | Datasets | 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

  3. 32-digit values of the first 100 recurrence coefficients for the Schroedinger weight function with exponent mu=5

    2016-12-09 15:55:18 | Datasets | 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

  4. 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 | Datasets | 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

  5. 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 | Datasets | 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

  6. 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 | Datasets | 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

  7. 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 | Datasets | 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

  8. 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 | Datasets | 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

  9. 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 | Datasets | 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

  10. 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 | Datasets | 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

  11. 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 | Datasets | 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

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

    2016-12-09 19:15:39 | Datasets | 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

  13. 32-digit values of the first 100 recurrence coefficients for the weight function w(x)=x^(1/2)*exp(-x)*(x-1-log(x)) on [0,Inf] obtained from modified moments

    2016-12-05 18:05:47 | Datasets | Contributor(s): Walter Gautschi | doi:10.4231/R78P5XHT

    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=1/2

    https://purr.purdue.edu/publications/2304

  14. Purdue University Buildings Demolition, Construction Images, November 2016, MATH Building Camera

    2016-12-09 19:15:57 | Datasets | Contributor(s): Darcy M. Bullock, Alexander M. Hainen, Andrew Sydelko, David Burford, Michael Witt | doi:10.4231/R7DF6P63

    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/2307

  15. Purdue University Buildings Demolition, Construction Images, November 2016, POTR Building Camera 2

    2016-12-09 19:15:15 | Datasets | Contributor(s): Darcy M. Bullock, Alexander M. Hainen, Andrew T. Sydelko, David Burford, Michael Witt | doi:10.4231/R7J67DXD

    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/2308

  16. 32-digit values of the first 100 recurrence coefficients for a square-root-logarithmic weight function

    2016-12-06 19:17:53 | Datasets | Contributor(s): Walter Gautschi | doi:10.4231/R7NZ85NT

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

    https://purr.purdue.edu/publications/2306

  17. 32-digit values of the first 100 recurrence coefficients for the weight function w(x)=x^(-1/2)*exp(-x)*(x-1-log(x)) on [0,Inf] obtained from modified moments

    2016-12-05 18:01:58 | Datasets | Contributor(s): Walter Gautschi | doi:10.4231/R7SQ8XDM

    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=-1/2

    https://purr.purdue.edu/publications/2302

  18. 32-digit values of the first 100 recurrence coefficients for the second-order cardinal B-spline weight function obtained from moments

    2016-12-05 18:01:23 | Datasets | Contributor(s): Walter Gautschi | doi:10.4231/R7XG9P4B

    32-digit values of the first 100 recurrence coefficients for orthogonal polynomials relative to the weight function w(x)=phi_m(x) on [0,m], m=2

    https://purr.purdue.edu/publications/2303

  19. Gauss quadrature rules

    2016-12-06 18:56:54 | Datasets | Contributor(s): Walter Gautschi | doi:10.4231/R72805KQ

    Variable-precision Matlab routine for generating the nodes and weights of a Gaussian quadrature rule

    https://purr.purdue.edu/publications/2305

  20. Agricultural Advisors’ Climate Risk Perceptions: 2013 Survey Data

    2016-11-30 00:00:00 | Datasets | Contributor(s): Stuart Carlton, Tonya Haigh, Cody Knutson, Maria Lemos, Amber Mase, Jean McGuire, Lois Morton, Linda S. Prokopy, Melissa J. Widhalm | doi:10.4231/R7707ZDF

    Agricultural advisors in 4 Midwestern states were surveyed in Feb 2013 about their climate risk perceptions, climate change beliefs, and willingness to use climate information.

    https://purr.purdue.edu/publications/2006

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