Multiple orthogonal polynomials (MOPs) extend the classical notion of orthogonality by satisfying simultaneous orthogonality conditions with respect to several weight functions or measures. This ...
Sankhyā: The Indian Journal of Statistics, Series B (1960-2002), Vol. 28, No. 3/4 (Dec., 1966), pp. 191-198 (8 pages) In Section 2 orthogonal polynomials in k dimensions are defined and their ...
This is a preview. Log in through your library . Abstract The subject of this paper are polynomials in multiple non-commuting variables. For polynomials of this type orthogonal with respect to a state ...
We discuss the application of orthogonal polynomials to the estimation of probability density functions, particularly with regard to accessing features of a portfolio's profit/loss distribution. Such ...
M. Bertola, T. Grava, E. Chavez-Heredia, “The Stieltjes–Fekete problem and degenerate orthogonal polynomials”, Int. Math. Res. Not. IMRN 2024, in press. M ...
The inputs to the ORPOL function are as follows: The maximum number of nonzero orthogonal polynomials (r) that can be computed from the vector and the weights is the number of distinct values in the ...
When values of the dependent variables in the MODEL statement represent repeated measurements on the same experimental unit, the REPEATED statement enables you to test hypotheses about the measurement ...
T. Ahrens, M. Majji, “Direct and Indirect Optimal Control via Orthogonal Polynomial Integral Collocation,” Presented at the AAS/AIAA Space Flight Mechanics Meeting, Kaua'i, HI, Jan 2025. T. Becker & Z ...
This course is available on the BSc in Mathematics and Economics, BSc in Mathematics with Data Science, BSc in Mathematics with Economics and BSc in Mathematics, Statistics and Business. This course ...
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