Sentence examples for average complexity is from inspiring English sources

Its average complexity is computed through simulations over all SNR range.

Thus, the average complexity is such that O L. ∑ l = 2 l max l 2 = O 2. l max.

So, the average complexity is such that: mathcal{O}left Mcdotsumlimits_{text{it=1}}^{text{it}_{text{max}}}sumlimits_{l=2}^{text{l}_{text{max}}}l^{2}right)=mathcal{O} Mcdot l_{text{max}}^{3}cdot mathrm {it}_{max}) (28).

Indeed, the SD achieves quasi-ML performance while its average complexity is shown to be polynomial (roughly cubic) in constellation size and in the number of transmit antennas over a certain range of signal-to-noise ratio (SNR) while the worst case complexity is still exponential [11].

The worst case time complexity is then O (b + d b n 2 + n 2 b L (log ⁡ n + (b + d ) log ⁡ L ) = O (n 2 b L (log ⁡ n + (b + d ) L ) ), and the average complexity is O (b + d b n 2 | Σ | − q + n 2 b ((L − q + 1 ) (d + b ) e p | Σ | q ) p L log ⁡ n L | Σ | q ).

For p large enough, the average time complexity is O (b + d b n 2 | Σ | − q ).

Suffice it to say that the average-case complexity is O(n) even when the trivial O(n) algorithm -- which in turn applies each of the O(n) reversals and checks in linear time [ 17] if the distance has decreased -- is used on permutations with bad components.

When k = O (m / log σ m ), the average-case time complexity is O (n ).

Note also that our analysis of the average-case time complexity is based on the assumption that the text structure follows the random-walk model, like the analysis in [ 10].

Architecture Complexity is, on average, 7% lower with the search-based approach (6.46) when compared to the style-based approach (7.02).

We do not mean that the time complexity is against some 'average' structure, but it is the average-case (or expected) time complexity against all the possible structures whose distribution follows the model.