A new algorithm MaxPack for optimally packing furniture in a transportation container claims to have worst case complexity O(n2 log n), where n is the number of items to be packed.From this, we can conclude that:
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new algorithm MaxPack for optimally packing furniture in a transportation container claims to have worst case complexity O(n^2 logn), where n is the number of items to be packed.
From this, we can conclude that:
A. For every n, for every input of size n, MaxPack requires time proportional to n^2 log n.
B. For some n, for every input of size n, MaxPack requires time proportional to n^2 log n.
C. For every n, every input of size n can be solved by MaxPack within time proportional to n^2 log n.
D. For every n, there is an input of size n for which MaxPack requires time proportional to n^2 log n.
From this, we can conclude that:
A. For every n, for every input of size n, MaxPack requires time proportional to n^2 log n.
B. For some n, for every input of size n, MaxPack requires time proportional to n^2 log n.
C. For every n, every input of size n can be solved by MaxPack within time proportional to n^2 log n.
D. For every n, there is an input of size n for which MaxPack requires time proportional to n^2 log n.
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Thank you for asking this question. Here is your answer.
The correct answer to this question is:
C) For every n, every input of size n can be solved by MaxPack within time proportional to n2 log n.
I hope this helps you understand, if there is still any confusion please leave a comment below.
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