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The statistical properties of Kriging also make it possible to compute a confidence measure for the resulting estimation.
What mathematicians want to know is: if it's possible to check a potential solution in a reasonable amount of time (eg checking if it's a needle and not straw), is it also possible to compute a solution in a reasonable amount of time (finding the needle from scratch)?
It is possible to compute a weighted average of the channel states to take the final decision.
Arguably, it is possible to compute a distance metric for the average distance between two systems in two different countries.
The first is that none of the models provides performance indicators for all the indicators, and it is therefore not possible to compute a "strict" global social utility value for each scenario.
However, it is possible to compute a priori values for the gradients with external data from, e.g., numerical weather models or by estimating the gradients using observations from co-located GNSS sites.
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By means of these concepts, it is possible to compute an equivalent discontinuity at the macroscale, including both the direction and the magnitude of the discontinuity.
We also present an efficient method for locating the nearest photons in the grid, which makes it possible to compute an estimate of the radiance at any surface location in the scene.
By adopting a simple model of extending rods, it was possible to compute an X-ray stress-strain curve and a modulus from the change in the two equatorial peaks.
First we consider a small system with K = 4 users and N = 2 subcarriers where it is possible to compute an exact solution.
If multiple beamforming manifolds are used, it is possible to compute an adaptation in beamspace, but in most cases only a small number of beams are produced severely restricting the number of interfering sources that can be accommodated.
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