Results 31 to 40 of about 632,681 (338)
A new approach to nonlinear singular integral operators depending on three parameters
Open Mathematics, 2016 In this paper, we present some theorems on weighted approximation by two dimensional nonlinear singular integral operators in the following form: Tλ(f;x,y)=∬R2Kλ(t−x,s−y,f(t,s))dsdt,(x,y)∈R2,λ∈Λ,$${T_\lambda }(f;x,y) = \iint\limits_{{\mathbb{R}^2}}K_ ...
Uysal Gumrah
doaj +1 more source
Chebyshev Approximations by Least Squares Method
Известия Иркутского государственного университета: Серия "Математика", 2020 We consider the problem of linear approximation in the form of the minimization problem of the weighted Chebyshev norm, and that in the form of the minimization problem of the weighted Euclidean norm of the residual vector.
V.I. Zorkaltsev, E. V. Gubiy
doaj +1 more source
On a Problem of Weighted Low-Rank Approximation of Matrices
, 2017 We study a weighted low rank approximation that is inspired by a problem of constrained low rank approximation of matrices as initiated by the work of Golub, Hoffman, and Stewart (Linear Algebra and Its Applications, 88-89(1987), 317-327).
Dutta, Aritra, Li, Xin
core +1 more source
Approximation with exponential weights in [−1,1]
Journal of Mathematical Analysis and Applications, 2002 Let \(w(x):=\exp(-1/(1-x^2)^\alpha)\), \(\alpha>0\), \(|x|
DELLA VECCHIA, Biancamaria +2 more
openaire +3 more sources
Weighted Best Local Approximation
Analysis in Theory and Applications, 2016 Fil: Favier, Sergio José. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Luis.
Ridolfi, Claudia Vanina +1 more
openaire +3 more sources
A Fast Algorithm for a Weighted Low Rank Approximation
, 2017 Matrix low rank approximation including the classical PCA and the robust PCA (RPCA) method have been applied to solve the background modeling problem in video analysis.
dutta +6 more
core +1 more source
New moduli of smoothness: weighted DT moduli revisited and applied
, 2014 We introduce new moduli of smoothness for functions $f\in L_p[-1,1]\cap C^{r-1}(-1,1)$, $1\le p\le\infty$, $r\ge1$, that have an $(r-1)$st locally absolutely continuous derivative in $(-1,1)$, and such that $\varphi^rf^{(r)}$ is in $L_p[-1,1]$, where ...
Kopotun, K. A. +2 more
core +1 more source
Weighted approximation: Korovkin and quantitative type theorems
Modern Mathematical Methods, 2023 In the present paper, we consider Korovkin and quantitative theorems, which have been treated by various authors to date, under weighted approximation.
Ali Aral
doaj
Comments on "On Approximating Euclidean Metrics by Weighted t-Cost Distances in Arbitrary Dimension"
, 2012 Mukherjee (Pattern Recognition Letters, vol. 32, pp. 824-831, 2011) recently introduced a class of distance functions called weighted t-cost distances that generalize m-neighbor, octagonal, and t-cost distances.
Barni +17 more
core +1 more source
The Annals of Mathematical Statistics, 1948 The greatest fractional increase in variance when a weighted mean is calculated with approximate weights is, quite closely, the square of the largest fractional error in an individual weight. The average increase will be about one-half this amount. The use of weights accurate to two significant figures, or even to the nearest number of the form: 10, 11,
openaire +2 more sources