> BWA is most efficient in space complexity, because its index size does not depend on the distance threshold.
CET classifies as feasible those functions whose most efficient algorithms have time complexity \(c \cdot n^k\) for arbitrarily large scalar factors \(c\) and exponents \ k\).
CET classifies as infeasible functions whose most efficient algorithms have time complexity which is of super-polynomial order of growth inclusive of, e.g., \(2^{.000001n} \ or \(n^{\log(\log(\log(n)))}\).
As we have just seen, such assignments are based on the time or space complexity of the most efficient algorithms by which membership in a problem can be decided.
Among the most efficient schemes, an approach with very low complexity is the adaptive memoryless predistortion of the constellation.
The time and space complexity of a problem \(X\) are measured in terms of the worst case time and space complexity of the asymptotically most efficient algorithm for deciding \(X\).
However, even though SC3 is not the most efficient in terms of authentication performance or complexity, compared to SC1 and SC2, it is the most secure, a merit that may make it the first choice in real-world applications.
So far, the most efficient algorithm to solve the problem has a complexity of O(T2m+3), where T is the number of periods in the planning horizon (Koca et al., 2014).
Danaher's response is to clear away the complexity, by continually reorganizing and refining only the most efficient, consistently effective moves.
But a challenge in developing bioinspired synthetic purification systems lies in deciphering the complexity of natural systems like aquaporins (AQPs), nature's most efficient water transport system.
Despite its enormous complexity, a plant Photosystem I (PSI) is arguably the most efficient nano-photochemical machine in Nature.
