The statements that correctly describe the time complexity of data structures with N data are:
- The average time complexity of the data lookup in a hash table is O(N).
- The average time complexity of inserting data into a heap is O(logN)
<h3>What is time complexity of data structures?</h3>
Time Complexity of an algorithm is known to be the depiction of the amount of time needed by the algorithm to carry out to completion.
Note that The statements that correctly describe the time complexity of data structures with N data are:
- The average time complexity of the data lookup in a hash table is O(N).
- The average time complexity of inserting data into a heap is O(logN)
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Answer:
The answer is "Departmental interdependence".
Explanation:
In the given question some information is missing, that is an option, which can be described s follows:
A. Work independently across organizations.
B. Departmental interdependence.
C. As an individually small department or as a team.
D. Each organization functions as a separate business entity.
There are separate positions in each organization, but the departments can not actually interact with each other, in the hierarchical paradigm of interdependence and can not rely explicitly on each other, each division presents the same ultimate problem, and other choices were wrong, that is described as follows:
- In option A, It is wrong because in the organization there are some protocol which will be followed by all.
- Option C and Option D both are wrong because each organization's function is not separated by the business entity, and it is not small.
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Answer:
Math like multiplication, addition, division, and subtraction