Results 141 to 150 of about 972,343 (359)
Orthogonal polynomials (in Matlab)
AbstractA suite of Matlab programs has been developed as part of the book “Orthogonal Polynomials: Computation and Approximation” Oxford University Press, Oxford, 2004, by Gautschi. The package contains routines for generating orthogonal polynomials as well as routines dealing with applications.
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Three sets of strength data were selected, including hydrostatic pressure independent within the brittle region (HPI‐B), hydrostatic pressure dependent within the brittle region (HPD‐B), and hydrostatic pressure dependent within the brittle–ductile region (HPD‐BD). For HPI type, the failure envelope within the deviatoric plane remains constant.
Jiacun Liu+3 more
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We utilise a metaheuristic optimisation method, inspired by nature, called the Lévy‐flight firefly algorithm (LFA), to tackle the power regulation and user grouping in the NOMA systems. Abstract The non‐orthogonal multiple access strategies have shown promise to boost fifth generation and sixth generation wireless networks' spectral efficiency and ...
Zaid Albataineh+4 more
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A new set of orthogonal polynomials and the traditional Zernike polynomials are combined to construct the wavefront of the sparse aperture (SA) optical system.
Baohua Chen+5 more
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ABSTRACT Objective Eating disorders (EDs) and symptoms of trauma commonly co‐occur, yet research is limited on how trauma affects ED treatment outcomes. This is particularly true for complex post‐traumatic stress disorder (CPTSD). Differentiating between the treatment impacts of PTSD and CPTSD (which includes both PTSD symptoms and disturbances in self‐
Sinead Day+3 more
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Doubly periodic lozenge tilings of a hexagon and matrix valued orthogonal polynomials. [PDF]
Charlier C.
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Orthogonal polynomials arising in the numerical evaluation of inverse Laplace transforms [PDF]
Herbert E. Salzer
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Orthogonal polynomials on the disc
AbstractWe consider the space Pn of orthogonal polynomials of degree n on the unit disc for a general radially symmetric weight function. We show that there exists a single orthogonal polynomial whose rotations through the angles jπn+1, j=0,1,…,n forms an orthonormal basis for Pn, and compute all such polynomials explicitly.
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On derivatives of orthogonal polynomials. II [PDF]
m{x)(j)n{x)d\p(x) = 0, I d\p(x) > 0, (m 7* n), a J a where \[/(x) is a non-decreasing function of bounded variation. There is no restriction in assuming the highest coefficient 1. It has been shown by W. Hahnf that if the derivatives also form a set of orthogonal polynomials, then the original set were Jacobi, Hermite, or Laguerre polynomials.
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