Sentence examples for requirement o from inspiring English sources

Exact(2)

Moreover, since the main computations of EPIA are independent, they can be performed in parallel efficiently, with storage requirement O(n), where n is the number of the control points.

Thus we can construct a more refined implementation for computing z⁎ as given by procedure Solve_RKP in Fig. 2. The above procedure applies a better utilization of the dynamic programming array and avoids copying array entries from one iteration to the next, yielding a space requirement O (n + Γ c ) and a time complexity O (Γ nc ).

Similar(57)

A simplified model, which assumes that the horizon of the material δ="O N-1), was prO N-1d to reduce the computational cost and memory requirement to O(N).

However, the Hirschberg algorithm (Myers and Miller, 1988), reduces the DP space requirement to O(n), but approximately doubles the runtime.

Because SAM files are usually sorted by chromosomal coordinate, following this transition it will be straightforward to reduce the time requirement to O(mlog(n)), where n, m are the number of reads and heterozygous positions, respectively.

In order to be able to align large RNAs, we also implemented an extension of the divide and conquer approach described in (Eddy, 2002) to trCYK, reducing the memory requirement to O(Llog M) at the expense of a small increase in computation time.

Compared to gapped alignment, this approximation has lower computation time requirements (O(N) reduced to O(N)), and space requirements (O(N) reduced to O(N)).

However, the requirement of O-GlcNAcylation for maintaining glucose homeostasis by regulating pancreatic β cell mass and function is unclear.

While this was initially taken to reflect a universal requirement for O-fucose on Notch, more recently a second function for OFUT1 was identified [ 10].

Lack of requirement for O-fucosylation is further supported by the absence of embryonic phenotypes in Gmd mutants, which lack all forms of fucosylation.

Compared to the original VF algorithm, VF2 lowers the memory requirements from O(n2) to O(n) with respect to the number of nodes in the graphs.

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