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To estimate the complexity of algorithms and algorithmic problems, recall the basic definitions of the complexity theory.
Table 1 Complexity of algorithms.
The Big-Oh notation is well accepted for analyzing the computational complexity of algorithms.
On the other hand, PAT techniques are increasing the complexity of algorithms.
Figure 9 is a schematic view of the complexity of algorithms in spatial and frequency domain [22].
One of the ways to meet specific requirements of a process is a reduction of computational complexity of algorithms.
Similar(27)
Now let us examine the computational complexity of Algorithm 1.
Finally, we discuss the complexity of 'Algorithm IP'.
In those cases, complexity of algorithm is high.
The time complexity of Algorithm 1 is O(n2).
These are lower than the computational complexity of Algorithm 1.
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