Data expansion and computation time complexity
comparison with Paillier cryptosystem are analyzed in Section 5.
Section 3 analyses the time complexity
, compares the method with an older algorithm based on static strips, and introduces some additional improvements.
As a solution, they use an algorithm with similar time complexity
as the one we propose in the next section, 0(logaN).
Wardoyo, "Time complexity
analysis of support vector machines (SVM) in LibSVM," International Journal Computer Application, vol.
Here we compare in terms of the ciphertext size and the time complexity
of basic operation implemented during homomorphic evaluation.
(2) It uses bucket sort to speed up the BWT encoding and decoding with time complexity
O(N), so that the BWT block size can rise to 2 GB or more to fit the big data compression.
The proposed system has different advantages like complexity is less for a large amount of data, less time complexity
and has high accuracy rate of classification.
 of convolutional layers can be defined as:
Finding an efficient flight path at the cost of time complexity
of this algorithm is always the most concerned issue of researchers.
Since, in classical K-means algorithm, every iteration requires calculation of the distance between each protein and each cluster center, the time complexity
of classical K-means algorithm is 0(t * K * N); here t is the number of iteration until cluster centers convergence.
However, the time complexity
will be increased exponentially with the increase of the thresholds, which limits its application in real time and cannot be tolerated.
The time complexity
of VorNSA is ([N.sub.S] log [N.sub.S] + [N.sub.S.sup.[d/2]] + [absolute value of D]), where [N.sub.S] is the size of training dataset, d is the dimension of training dataset, and [absolute value of D] is the size of detectors.