Applications and Computation of Orthogonal Polynomials :
[Book]
Conference at the Mathematical Research Institute Oberwolfach, Germany March 22-28, 1998
by Walter Gautschi, Gerhard Opfer, Gene H. Golub.
Basel
Birkhäuser Basel
1999
(282 pages)
International series of numerical mathematics, 131.
The sensitivity of least squares polynomial approximation --;Transpose-free look-ahead algorithms for Lanczos' method --;Applications of anti-Gauss quadrature rules in linear algebra --;Stieltjes polynomials and the error of Gauss-Kronrod quadrature formulas --;Fast solution of confluent Vandermonde-like linear systems using polynomial arithmetic --;On discrete polynomial least-squares approximation in moving time windows --;Quadrature rules based on s-orthogonal polynomials for evaluating integrals with strong singularities --;Gegenbauer weight functions admitting L2 Duffin and Schaeffer type inequalities --;Questions related to Gaussian quadrature formulas and two-term recursions --;Construction and computation of a new set of orthogonal polynomials --;Fourier transforms of orthogonal polynomials of singular continuous spectral measures --;On a sequence of fast decreasing polynomial operators --;Müntz orthogonal polynomials and their numerical evaluation --;Positivity of Gauss-Kronrod formulae for a certain ultraspherical weight function --;A Christoffel-Darboux-type formula for Szegö polynomials and polynomial evaluation --;Applications of tensor-valued tri-variate Hermite polynomials and spherical harmonics in the kinetic theory of gases --;Indeterminate moment problems and a conjecture on the growth of the entire functions in the Nevanlinna parametrization --;Spectral methods based on nonclassical orthogonal polynomials --;Author index.
This volume contains a collection of papers dealing with applications of orthogonal polynomials and methods for their computation, of interest to a wide audience of numerical analysts, engineers, and scientists. The applications address problems in applied mathematics as well as problems in engineering and the sciences.