Sentence examples for O(1) time complexity from inspiring English sources

SRA and SRA+ algorithms are of O(1) time complexity and can be implemented in simple hardware.

We elaborated these differences and conceptually compared the only two O(1) time complexity algorithms developed for MD and DPM.

The pre-computed values can then be simply stored in a look-up table for fast retrieval, i.e., with constant, O(1), time complexity.

Finally, we recall that symmetric operations of RIGHT INSERTION and RIGHT DELETION can be straightforwardly computed from the iterative definition of CGR in Eq. (1) also with O(1) time complexity.

For this problem, we propose a new approach to obtain a more effective FPTAS of O(n2/ε) time complexity.

They proposed a fully polynomial time approximation scheme (FPTAS) of O((n6logW /ε3) time complexity (W is the sum of weights, n is the number of jobs and ε is the error bound).

In turn, we skillfully design flexible length DNA strands to represent elements of the allocation matrix, take appropriate biological experiment operations and get solutions of the task scheduling problem in proper length range with less than O(n2) time complexity.

For the n-queens problem, we reasonably design flexible length DNA strands representing elements of the allocation matrix, take appropriate biologic manipulations and get the solutions of the n-queens problem in proper length and O(n2) time complexity.

Meanwhile, we design flexible length DNA strands to represent different jobs and individuals, take appropriate steps and get the solutions of the AP in proper length range and with O(n2) time complexity.

We devise a new implementation of this component, which requires no approximations, has O(N) spatial complexity and deterministic O((logN 2) time complexity.

In [18], an algorithm with O(n2) time complexity is proposed to determine whether a stable matching exists for any instance of the problem and find one if it exists.