Datasets: All

  1. Biological, chemical and flow characteristics of five river sampling sites in the Wabash River watershed near Lafayette, Indiana – 2012.

    2014-07-03 03:15:06 | Datasets | Contributor(s): Megan Heller Haas, Sara Peel, Ronald F. Turco | doi:10.4231/R7GT5K3J

    Water quality data collected from the Lafayette area watershed in 2012. There are three samples sites located on Little Pine Creek, Elliot Ditch, Little Wea Creek and two sites on the Wabash River.

    https://purr.purdue.edu/publications/1702

  2. Two-Phase Outflows: Boundary Conditions and Algorithm

    2014-06-19 17:45:08 | Datasets | Contributor(s): Suchuan Dong | doi:10.4231/R7MK69TV

    We present an effective outflow boundary condition, and an associated numerical algorithm, within the phase field framework for dealing with two-phase outflows or open boundaries.

    https://purr.purdue.edu/publications/1701

  3. Outflow Boundary Condition and Algorithm for Single-Phase Incompressible Flows

    2014-06-19 17:45:22 | Datasets | Contributor(s): Suchuan Dong | doi:10.4231/R7RB72JK

    We present an accurate and effective outflow boundary condition and numerical algorithm for achieving stability in the presence of strong vortices or backflows at the outflow boundaries.

    https://purr.purdue.edu/publications/1699

  4. N-1 Span Damage - Supplementary Materials for the Report: Effects of Realistic Heat Straightening Repair on the Properties and Serviceability of Damaged Steel Beam Bridges

    2014-05-06 19:43:41 | Datasets | Contributor(s): Amit H. Varma, Young Moo Sohn | doi:10.4231/D3W66984S

    Supplementary Materials for the Report: Effects of Realistic Heat Straightening Repair on the Properties and Serviceability of Damaged Steel Bridges

    https://purr.purdue.edu/publications/1514

  5. POEXPINT: Polynomials orthogonal with respect to the exponential integral

    2014-04-28 14:27:31 | Datasets | Contributor(s): Walter Gautschi | doi:10.4231/R7X34VD9

    Matlab scripts for computing orthogonal polynomials whose weight function involves an exponential integral

    https://purr.purdue.edu/publications/1587

  6. CHA: Matlab programs for computing a challenging integral

    2014-04-23 08:31:08 | Datasets | Contributor(s): Walter Gautschi | doi:10.4231/R7QJ7F7V

    Matlab and FORTRAN codes to evaluate a densely and wildly oscillatory integral that had been proposed as a computational problem in the SIAM 100-Digit Challenge.

    https://purr.purdue.edu/publications/1563

  7. MCD: Matlab programs for computing the Macdonald function for complex orders

    2014-04-23 08:27:25 | Datasets | Contributor(s): Walter Gautschi | doi:10.4231/R7B8562S

    A collection of FORTRAN and Matlab codes and their outputs to compute the Macdonald function for complex orders by numerical quadrature.

    https://purr.purdue.edu/publications/1561

  8. HPGT: High-precision Gauss-Turan quadrature rules

    2014-04-23 08:28:16 | Datasets | Contributor(s): Walter Gautschi | doi:10.4231/R71V5BW8

    Matlab routines that calculate high-precision Gauss-Turan quadrature rules

    https://purr.purdue.edu/publications/1580

  9. NEUTRAL: Neutralizing nearby singularities in numerical quadrature

    2014-04-23 08:27:11 | Datasets | Contributor(s): Walter Gautschi | doi:10.4231/R75H7D6P

    Matlab routines for neutralizing nearby singularities in numerical quadrature

    https://purr.purdue.edu/publications/1579

  10. RMOP: Repeated modifications of orthogonal polynomials

    2014-04-23 08:25:49 | Datasets | Contributor(s): Walter Gautschi | doi:10.4231/R7F18WNB

    Matlab routines and data sets that compute repeated modifications of orthogonal polynomials

    https://purr.purdue.edu/publications/1577

  11. SRJAC: Sub-range Jacobi polynomials

    2014-04-23 08:24:06 | Datasets | Contributor(s): Walter Gautschi | doi:10.4231/R7JS9NCR

    Matlab routines for computing sub-range Jacobi polynomials within the sub interval of [-1, 1]

    https://purr.purdue.edu/publications/1576

  12. HOGGRL: High-order generalized Gauss-Radau and Gauss-Lobatto Formulae for Jacobi and Laguerre weight functions

    2014-04-23 08:28:33 | Datasets | Contributor(s): Walter Gautschi | doi:10.4231/R7G15XSQ

    Matlab source codes and files that compute the high-order Gauss-Radau and Gauss-Lobatto formulae for Jacobi and Laguerre weight functions

    https://purr.purdue.edu/publications/1574

  13. OCVdM: Optimally conditioned Vandermonde matrices

    2014-04-23 08:26:19 | Datasets | Contributor(s): Walter Gautschi | doi:10.4231/R7TB14TB

    Matlab routines for computing optimally conditioned Vandermonde matrices

    https://purr.purdue.edu/publications/1573

  14. LAMBERTW: Matlab programs for evaluating the Lambert W-functions and some of their integrals

    2014-04-23 08:27:41 | Datasets | Contributor(s): Walter Gautschi | doi:10.4231/R7Z31WJP

    Matlab programs for evaluating the Lambert W-functions and some of their integrals

    https://purr.purdue.edu/publications/1572

  15. GQLOG: Matlab routines for computing Gauss Quadrature rules with logarithmic weight functions

    2014-04-23 08:28:47 | Datasets | Contributor(s): Walter Gautschi | doi:10.4231/R72R3PMB

    Matlab routines for computing Gauss Quadrature rules with logarithmic weight functions

    https://purr.purdue.edu/publications/1571

  16. CIZJP: Matlab programs for conjectured inequalities for zeros of Jacobi polynomials

    2014-04-23 08:30:53 | Datasets | Contributor(s): Walter Gautschi | doi:10.4231/R7KS6PH4

    Inequalities for the largest zero of Jacobi polynomials are here extended to all zeros of Jacobi polynomials, and new relevant conjectures are formulated.

    https://purr.purdue.edu/publications/1570

  17. BIJ: Matlab programs for testing and extending Bernstein's Inequality for Jacobi polynomials

    2014-04-23 08:31:23 | Datasets | Contributor(s): Walter Gautschi | doi:10.4231/R7V985Z5

    Bernstein’s inequality for Jacobi polynomials is analyzed here analytically and computationally with regard to validity and sharpness

    https://purr.purdue.edu/publications/1569

  18. OWF: Matlab programs for computing orthogonal polynomials with respect to densely oscillating and exponentially decaying weight functions

    2014-04-23 08:26:04 | Datasets | Contributor(s): Walter Gautschi | doi:10.4231/R7NK3BZ7

    Software (in Matlab) is developed for computing variable-precision recurrence coefficients for orthogonal polynomials with respect to densely oscillating and exponentially decaying weight functions

    https://purr.purdue.edu/publications/1562

  19. NUMINT: Numerical Integration over the square

    2014-04-23 08:26:33 | Datasets | Contributor(s): Walter Gautschi | doi:10.4231/R7PK0D31

    Matlab routines for computing numerical integration over the square

    https://purr.purdue.edu/publications/1575

  20. 32-digit values of the first 100 recurrence coefficients relative to the weight function w(x)=x^{1/2}(1-x)^{-1/2}log(1/x) on (0,1) computed by the SOPQ routine sr_jacobilog1(100,1/2,-1/2,32)

    2014-04-22 11:31:45 | Datasets | Contributor(s): Walter Gautschi | doi:10.4231/R7SF2T39

    32-digit values of the first 100 recurrence coefficients for orthogonal polynomials relative to the weight function w(x)=x^{1/2}(1-x)^{-1/2}log(1/x) on (0,1) computed by the SOPQ routine sr_jacobilog1(100,1/2,-1/2,32)

    https://purr.purdue.edu/publications/1498

The Purdue University Research Repository (PURR) is a university core research facility provided by the Purdue University Libraries, the Office of the Executive Vice President for Research and Partnerships, and Information Technology at Purdue (ITaP).