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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B) For Military Purposes but around the 1970s they became widely available to consumers.
Answer:
application software or tailored software
The difference between abstract language and abstract language is that abstract language is known through the intellect and concrete language is known through the senses.
<h3>What are abstract and concrete languages?</h3>
The abstract language uses the words like kind, truth, grace, etc. It is a form of language that indicates the intellectual, but concrete language can be known by the senses.
Thus, the distinction between concrete and abstract language is that concrete language is understood via the senses, whereas abstract language is understood through the mind.
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