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Structural characterization of the human organic anion transporter OATP2B1. [PDF]

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Chen J   +10 more
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Best Approximation and K-Functionals

Acta Mathematica Hungarica, 1997
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Chen, W., Ditzian, Z.
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On the K-functional in learning theory

Analysis and Applications, 2019
[Formula: see text]-functionals are used in learning theory literature to study approximation errors in kernel-based regularization schemes. In this paper, we study the approximation error and [Formula: see text]-functionals in [Formula: see text] spaces with [Formula: see text].
Sheng, Bao-Huai, Wang, Jian-Li
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On the computation of $K$-functionals

St. Petersburg Mathematical Journal, 2010
A new approach to the calculation of the sharp order of a \(K\)-functional is suggested. This approach employs the techniques of dyadic spaces.
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The network K‐function in context: examining the effects of network structure on the network K‐function

Transactions in GIS, 2015
AbstractThe flaws of using traditional planar point‐pattern analysis techniques with network constrained points have been thoroughly explored in the literature. Because of this, new network‐based measures have been introduced for their planar analogues, including the network based K‐function.
David S. Lamb   +2 more
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Estimation of a K-Functional of Higher Order in Terms of a K-Functional of Lower Order

Ukrainian Mathematical Journal, 2003
Let Uj be a finite system of functionals of the form \(U_j (g):= \int _0^1 g^(k_j) ( \tau ) d \sigma _j ( \tau )+ \sum_{l < k_j} c_{j,l} g^(l) (0)\), and let \(W_{p,U}^r\) be the subspace of the Sobolev space \(W_p^r [0;1]\), 1 ≤ p ≤ +∞, that consists only of functions g such that Uj(g) = 0 for kj < r.
E. I. Radzievskaya, G. V. Radzievskii
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