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We consider approximation of X by piecewise Hermite interpolation splines with n free knots (i.e., a sampling design, a mesh).
Consequently, it is of interest to consider approximation methods that may lead to more stable covariance matrix estimators.
Moreover, for convenience, we may assume that the appropriate weak solution is smooth, and no longer consider approximation problem.
In this survey we consider approximation and online algorithms for several classical generalizations of bin packing problem such as geometric bin packing, vector bin packing and various other related problems.
In order to verify our main results presented in the above section, in this section, we give some numerical simulations and consider approximation of the elliptic boundary value problem (1.1) by using the new Picard-Mann iterative methods with mixed errors for contractive operators.
In this paper, we consider approximation of the population likelihood by using the first-order conditional estimation with interaction (FOCEI) approximation of the population likelihood together with the EKF for state estimation on the individual level.
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Let us consider approximations of each of these theories.
We apply this method to develop a steady-state signal equation for MT-weighted spoiled gradient echo sequences and consider approximations that facilitate its rapid computation.
Only the indirect single layer formulation (21) for the full dielectric model gives a potential which is not quite constant although we consider approximations of smooth objects.
Breban et al. (2005) consider approximations of epidemics taking place on networks in growing populations.
In the next subsection we examine how to deal with numerical artifacts (known as Gibbs phenomena) that appear when we consider approximations with finite Λ.
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