Calculation of complexity of NTRU and optimized NTRU using GA, ACO, and PSO algorithmGAACOPSONTRUoptimizationA great security of information for the e-business applications is required. In such applications, use of cryptographic methods is very necessary. The two popularly used cryptographic methods ...
When the amount of calculation increases with the number of times, the difference between n and 1 is not too large, and the $n^2$ curve becomes larger and larger, so this is also 2$n^2$+3n+1 -> $n^2$ will finally be estimated as $n^2$, because 3n+1 is basically negligible ...
Although more subtle, the fourth panel also illustrates that the algorithmic complexity for data and surrogates also differs when the surrogates are generated by the PPS algorithm. The conclusion of this calculation is that the data is not consistent with a noisy periodic orbit. Hence, the data ...
This book constitutes the refereed conference proceedings of the 8th International Conference on Algorithms and Complexity, CIAC 2013, held in Barcelona, Spain, during May 22-24, 2013. The 31 revised full papers presented were carefully reviewed and selected from 75 submissions. The papers present ...
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The calculation of computational complexity is illustrated with two simple examples in Algorithm 4.1 and 4.2. Each of these entails the process of looking up a word in a dictionary. The input size n refers to the total number of words in the dictionary, because every word is a possible targe...
Computational algorithms and the complexity of link polynomials The authors describe the fundamental combinatorial nature of one of the knot and link invariants and an effective computational algorithm to determine it in a significant range of mathematically interesting cases. A brief introduction to... ...
The calculation of CC revolves around 2 concepts Nodes Edges Statements in a program are represented as nodes, and control paths from one statement to another are represented by Edges. Cyclomatic Complexity formula The formula for calculating CC is as: ...
We note that before Fürer’s algorithm, the opposite was true. This is because before Fürer’s algorithm, the best bound onM(n)wasO(nlognloglogn)[25]. 3. And indeed, such a result would be a much more significant than any upper bound!. ...
Here, we de- scribe a novel technique (the coding theorem method ) based on the calculation of a universal distribution, which yields an objective and universal measure of algorithmic complexity for short strings that approximates Kolmogorov–Chaitin complexity. Keywords Algorithmic complexity . ...