- Walter Gautschi 28
- Wad D. Crochet 9
- J.R. Wilcox 6
- Bernadette Luciano 5
- Craig S. T. Daughtry 5
- Susanna Scarparo 5
- T. Scott Abney 5
- Darcy M. Bullock 4
- Alexander M. Hainen 3
- Gary Nowling 3

- Dataset 78

subject: Computer Science type: dataset

10.4231/R7RX991C

David A. Landgrebe, Larry L. Biehl, Marion F. Baumgardner

09/30/2015

Airborne Visible / Infrared Imaging Spectrometer (AVIRIS) hyperspectral sensor data (aviris.jpl.nasa.gov/) were acquired on June 12, 1992 over the Purdue University Agronomy farm northwest of West Lafayette and the surrounding area. The data were acquired...

Binet weight function Computer Science Mathematics Matlab Modification algorithms for orthogonal polynomials Orthogonal polynomials Walter Gautschi Archives weight functions

10.4231/R7PN93HS

04/22/2014

The first 100 recurrence coefficients for the Freud weight function w(x)=exp(-x^4}) on R are obtained to 32 decimal digits from the first 200 moments by using Chebyshev's algorithm in sufficiently high precision; cf. Sec. 3 of "Variable-precision recu...

Computer Science Mathematics Modification algorithms for orthogonal polynomials Orthogonal polynomials Walter Gautschi Archives weight functions

10.4231/R7Z60KZ0

04/22/2014

The first 100 recurrence coefficients for the Freud weight function w(x)=exp(-x^6}) on R are obtained to 32 decimal digits from the first 200 moments by using Chebyshev's algorithm in sufficiently high precision; cf. Sec. 3 of "Variable-precision recu...

Computer Science Mathematics Modification algorithms for orthogonal polynomials moment-based method Orthogonal polynomials Walter Gautschi Archives weight functions

10.4231/R7TD9V74

04/22/2014

The first 100 recurrence coefficients for the Freud weight function w(x)=exp(-x^8}) on R are obtained to 32 decimal digits from the first 200 moments by using Chebyshev's algorithm in sufficiently high precision; cf. Sec. 3 of "Variable-precision recu...

Computer Science Mathematics Modification algorithms for orthogonal polynomials moment-based method Orthogonal polynomials Walter Gautschi Archives weight functions

10.4231/R7X63JTM

04/22/2014

The first 100 recurrence coefficients for the half-range Hermite weight function w(x)=exp(-x^2) on R_+} are obtained to 32 decimal digits from the first 200 moments by using Chebyshev's algorithm in sufficiently high precision; cf. Sec.3 of "Variable-...

Computer Science Mathematics Modification algorithms for orthogonal polynomials moment-based method Orthogonal polynomials Walter Gautschi Archives weight functions

10.4231/R79G5JRN

04/22/2014

The first 100 recurrence coefficients for the weight function w(x)=x^-1/2}(1-x)^1/2}log(1/x) on (0,1) are obtained to 32 decimal digits from the first 200 modified moments by using Chebyshev's algorithm in sufficiently high precision; cf. Sec.3 of "Ga...

Computer Science Mathematics Modification algorithms for orthogonal polynomials Orthogonal polynomials Walter Gautschi Archives weight functions

10.4231/R74Q7RWJ

04/22/2014

The first 100 recurrence coefficients for the weight function w(x)=x^1/2}(1-x)^1/2}log(1/x) on (0,1) are obtained to 32 decimal digits from the first 200 modified moments by using Chebyshev's algorithm in sufficiently high precision; cf. Sec.3 of "Gau...

Computer Science Mathematics Modification algorithms for orthogonal polynomials Orthogonal polynomials Walter Gautschi Archives weight functions

10.4231/D3JW86N22

Chad Laux, Duane Dunlap, Steven K. Bardonner, Vearl Turnpaugh

04/02/2014

The Engineering Technology Pathway is an NSF supported project for the purpose of improving the Advanced Technical Workforce for the State of Indiana. This collaboration of Purdue's College of Technology and Ivy Tech Community College supports a Pathwa...

10.4231/D3PN8XF6T

Chad Laux, Duane Dunlap, Steven K. Bardonner, Vearl Turnpaugh

04/02/2014

The Engineering Technology Pathway is an NSF supported project for the purpose of improving the Advanced Technical Workforce for the State of Indiana. This collaboration of Purdue's College of Technology and Ivy Tech Community College supports a Pathwa...

10.4231/R7Z31WJP

04/23/2014

The real-valued Lambert W-functions considered here are w_0(y) and w_-1}(y), solutions of we^w = y, -1/e < y < 0, with values respectively in (-1/e < y <0) and (-infinity, -1).

Binet-like weight functions Computer Science Mathematics Modification algorithms for orthogonal polynomials Orthogonal polynomials Walter Gautschi Archives weight functions

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