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Exact(39)
Here, M is the order of approximation and y ˜ is the approximate answer for Eq. (21).
Comparing with the ordinary kernel density estimator, for small smoothing parameter matrix and/or for large sample size n, the suggested semiparametric density estimator is seen to have approximately the same variance to the order of approximation used but a smaller bias.
Here, M is the order of approximation.
The number (m ge 1) denotes the order of approximation of the generalized CM VaR bounds.
Results for the order of approximation (m=2) have been discussed in Hürlimann [33].
However, the order of approximation k is limited by the dimension of the matrix.
Similar(21)
Error profiles of f for (lambda=0.2) and 0.25 are plotted in Figures 1 and 3 versus the order of approximations.
One can notice that error in velocity component f and in temperature θ decreases as we increase the order of approximations.
The problem of determining the order of best approximation plays a very important role in approximation theory.
where is the order of SLM approximation.
The order of the approximation for each constraint is automatically adjusted in the optimization process.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com