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Computing the above integral, we obtain.
Moreover, we provide low complexity algorithms for computing the above boundary values.
Computing the above expression is extremely complex because there are a large number of contextual factors and all possible values of c are not calculable.
Two fundamental questions must be taken into consideration when computing the above solutions: (1) What sort of algorithm or method must be employed when implementing (52) or (56).
However, the MPI implementation using 64 cores outperforms the GPU, and executes the time intensive task of computing the above said attributes in only 18 min, whereas a GPU consumes around an hour.
Computing the above integrals and using the fact that ∫ a b ∫ c d p ( x, t ) q ( y, s ) d t d s 1 - 1 q = ( b - a ) 2 ( d - c ) 2 16 1 - 1 q, we obtained the desired result.
Similar(51)
This on-RPC spot speed has been utilized for computing the above-mentioned criteria.
The average computational time needed to compute the above similarity measure between two images was 1.30300 milliseconds considering a matlab implementation running on an Intel Core Duo 2.53 GHz.
The software was applied to compute the above process.
The L-Hospital rule has been applied to compute the above results.
In the following experiments, we compute the above three measures to evaluate the performances of the image auto-focusing algorithms.
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