MOPS: Multivariate Orthogonal Polynomials (symbolically)

Details MOPS: Multivariate Orthogonal Polynomials (symbolically) MOPS: Multivariate Orthogonal Polynomials (symbolically)

2004-09-24

arxiv.org/abs/math-ph/0409066v1

Physics

Mathematical Physics

42 pages, 5 figures

Scientific paper

In this paper we present a Maple library (MOPs) for computing Jack, Hermite, Laguerre, and Jacobi multivariate polynomials, as well as eigenvalue statistics for the Hermite, Laguerre, and Jacobi ensembles of Random Matrix theory. We also compute multivariate hypergeometric functions, and offer both symbolic and numerical evaluations for all these quantities. We prove that all algorithms are well-defined, analyze their complexity, and illustrate their performance in practice. Finally, we also present a few of the possible applications of this library.

Affiliated with

Also associated with

No associations

Rating

MOPS: Multivariate Orthogonal Polynomials (symbolically) does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with MOPS: Multivariate Orthogonal Polynomials (symbolically), we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and MOPS: Multivariate Orthogonal Polynomials (symbolically) will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-695280