as for the time complexity vs as for time complexity

Both phrases are correct, but they are used in slightly different contexts. "As for the time complexity" is more commonly used when discussing a specific aspect or detail related to time complexity, while "as for time complexity" is more general and can be used to introduce a broader discussion on the topic.

Last updated: March 17, 2024 • 1466 views

This phrase is correct and commonly used in English.

"as for the time complexity "

This phrase is used to introduce a specific aspect or detail related to time complexity in a discussion or explanation.

Examples:

As for the time complexity of this algorithm, it is O(n^2) due to the nested loops.

Show examples from the web [+]

Similarly as for the time complexity analysis, we argue that the message complexity is the same as in BFS by Tides(s, ψ) until the beginning of the last execution ...
As for the time complexity - this depends on how you represent the graph and how you implement each step. Here's one way to implement this ...
As for the time complexity of array_unique() : first, a copy of the array will be created, which is an operation with linear characteristic; then, a C ...
As for the time complexity, we will not reproduce the example that achieves. O( N G(N)), where as already said G(N) is the number of times that the log function ...

Alternatives:

Regarding the time complexity
In terms of the time complexity
With respect to the time complexity
Concerning the time complexity

This phrase is correct and commonly used in English.

"as for time complexity "

This phrase is used to introduce a general discussion or overview of the topic of time complexity without focusing on specific details.

Examples:

As for time complexity, it is an important factor to consider in algorithm analysis.

Show examples from the web [+]

Oct 30, 2006 ... As for time complexity, MAFFT (Katoh et al., 2002, 2005) uses an O(N3) algorithm for constructing a variant of UPGMA guide tree. MUSCLE ...
As for time complexity, it is easy to see that in the worst case termination time. is bounded by O(N log(N)). At each of the log(N) levels, we may have at most N.
As for time complexity, the vertex partition of the vertices of G0=(V0,E0)=Cmk into subsets inducing transitively orientable subgraphs of G0, and the orientation of ...
As for time complexity, I imagine (read: I don't know for sure, but think) that they are the same though clear() could potentially be quicker with it's ...

Alternatives:

Regarding time complexity
In terms of time complexity
With respect to time complexity
Concerning time complexity

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as for the time complexity vs as for time complexity