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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You want 10-12 too?.............
Answer:
High level Language
understand
Explanation:
rocket is 0...4433456u888
Answer: Harry should check that font he has used are readable on every page and element of his website
Harry should check that all images have alt texts
Explanation: edmentum
Answer:
The value of myArray2[index2] when index1 = 12 is 30
Explanation:
In the source code, the formula for myArray2[index2] is;
myArray2[index2] = index2 + index3 + myArray1[index1],
myArray1[index1] = index1 * 2,
index2 = index % 10 (equal to the remainder) and
index3 = index % 8
When index1 increases to 12 in the for-loop statement, the "myArray1[index1]" is equal to 24, index2 is equal to 2 and index3 is 4. The total sum is equal to 30 and assigned to "myArray2[index2]".