Datasets

subject: Computer Science type: dataset

Total is 302 Results
Scripts for a discrete top-down Markov problem in approximation theory

10.4231/R74Q7RX0

Walter Gautschi ORCID logo

10/04/2016

Matlab scripts for a discrete top-down Markov problem in approximation theory

approximation theory Computer Science Mathematics polynomials Walter Gautschi Archives

Scripts for the Ismail-Letessier-Askey (ILA) monotonicity conjecture for zeros of ultraspherical polynomials

10.4231/R78G8HNQ

Walter Gautschi ORCID logo

10/04/2016

Dataset contains matlab scripts for a paper dealing with the ILA monotonicity property for zeros of ultraspherical polynomials.

Computer Science Mathematics Matlab monotonicity polynomials ultraspherical polynomials Walter Gautschi Archives

Source code for the paper Polynomial Fitting Known Plaintext Attack

10.4231/R7GH9FWM

James Alan Vaught

11/20/2015

This file contains C++ source code for the numerical experiments described in the paper Polynomial Fitting Known Plaintext Attack.

Computer Science cryptanalysis encryption Information Security known plaintext attack polynomial fitting

OPCBSPL: Orthogonal polynomials relative to cardinal B-spline weight functions

10.4231/R7NG4NKC

Walter Gautschi ORCID logo

10/28/2016

A stable and efficient discretization procedure is developed to compute recurrence coefficients for orthogonal polynomials whose weight function is a polynomial cardinal B-spline of order greater than, or equal to, one.

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

Code and Dataset for Pattern Recognition Benchmarks

10.4231/R7610X8M

Jonas Hepp , Mireille Boutin ORCID logo , Yellamraju Tarun

02/03/2016

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.

classification Computer Science Electrical and Computer Engineering feature evaluation image processing image recognition Pattern Recognition Pedestrian Classification

32-digit values of the first 100 recurrence coefficients for an Airy weight function

10.4231/R7V122R6

Walter Gautschi ORCID logo

10/19/2016

32-digit values of the first 100 recurrence coefficients for the (normalized) weight function w(x)=c*x^(-5/6)e^(-x)Ai((3x/2)^(2/3)) on [0,Inf], c=2^(-1/6)*3^(1/6)/pi^(1/2), where Ai is the Airy function

Airy weight function Computer Science Mathematics Modification algorithms for orthogonal polynomials Orthogonal polynomials Quadrature and cubature formulas Walter Gautschi Archives

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