1977
DOI: 10.1007/bf01214733
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On multivariate polynomials of least deviation from zero on the unit ball

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Cited by 19 publications
(12 citation statements)
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“…In [3], the function t~*t 4 was approximated on the unit circle by bivariate polynomials of total degree 7. From [12,18], the optimal error in (tl, t2) -=(cos ~b, sin 4)) is 2 -7 cos 8 q5 so that the same solution is obtained on a discrete set containing the extrema defined by q~ =jrc/8 (0 <j< 15). This occurs with m points equally spaced from 1 where m is a multiple of 16, which yields Ax ~ b with A e P," • 36 and b e R".…”
Section: -1mentioning
confidence: 97%
“…In [3], the function t~*t 4 was approximated on the unit circle by bivariate polynomials of total degree 7. From [12,18], the optimal error in (tl, t2) -=(cos ~b, sin 4)) is 2 -7 cos 8 q5 so that the same solution is obtained on a discrete set containing the extrema defined by q~ =jrc/8 (0 <j< 15). This occurs with m points equally spaced from 1 where m is a multiple of 16, which yields Ax ~ b with A e P," • 36 and b e R".…”
Section: -1mentioning
confidence: 97%
“…The problem of high-dimension approximation has attracted a wide attention [13][14][15][16][17][18]. Here we will present a novel recursive method to approximate d-variate functions.…”
Section: The D-variate Functions On [ ] Dmentioning
confidence: 99%
“…According to a result of Reimer [7] the polynomials A m are (for r=2) the polynomials of least deviation from zero with respect to the maximum norm, thus yielding that the Kergin interpolants to the equidistant nodes of Liang are best approximations to the monomials (see [5]). …”
Section: Identification Of Certain Polynomial Families As Kergin Remamentioning
confidence: 99%