Computational aspects of pseudospectral Laguerre approximations
Applied Numerical Mathematics
On polynomials orthogonal with respect to certain Sobolev inner products
Journal of Approximation Theory
On orthogonal polynomials of Sobolev type: algebraic properties and zeros
SIAM Journal on Mathematical Analysis
Algorithm 719: Multiprecision translation and execution of FORTRAN programs
ACM Transactions on Mathematical Software (TOMS)
ACM Transactions on Mathematical Software (TOMS)
Orthogonal polynomials on Sobolev spaces: old and new directions
VII SPOA Proceedings of the seventh Spanish symposium on Orthogonal polynomials and applications
On recurrence relations for Sobolev orthogonal polynomials
SIAM Journal on Mathematical Analysis
Computing orthogonal polynomials in Sobolev spaces
Numerische Mathematik
A Fortran 90-based multiprecision system
ACM Transactions on Mathematical Software (TOMS)
Accuracy and Stability of Numerical Algorithms
Accuracy and Stability of Numerical Algorithms
Journal of Computational and Applied Mathematics
Stable and Efficient Spectral Methods in Unbounded Domains Using Laguerre Functions
SIAM Journal on Numerical Analysis
On the numerical evaluation of linear recurrences
Journal of Computational and Applied Mathematics
Numerical evaluation of the pth derivative of Jacobi series
Applied Numerical Mathematics
Generation and evaluation of orthogonal polynomials in discrete Sobolev spaces I: algorithms
Journal of Computational and Applied Mathematics
Handbook of Mathematical Functions, With Formulas, Graphs, and Mathematical Tables,
Handbook of Mathematical Functions, With Formulas, Graphs, and Mathematical Tables,
Hi-index | 7.29 |
In this paper, we concern ourselves with the determination and evaluation of polynomials that are orthogonal with respect to a general discrete Sobolev inner product, that is, an ordinary inner product on the real line plus a finite sum of atomic inner products involving a finite number of derivatives. In a previous paper we provided a complete set of formulas to compute the coefficients of this recurrence. Here, we study the numerical stability of these algorithms for the generation and evaluation of a finite series of Sobolev orthogonal polynomials. Besides, we propose several techniques for reducing and controlling the rounding errors via theoretical running error bounds and a carefully chosen recurrence.