Overclocking is forcing the Central Processing Unit to run at a faster speed than the recommended manufacturer setting. While the CPU may function at a higher speed, it is not recommended because it could damage your CPU.
Which would suck, since replacing that small chip tends to be costly.
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:
Following are the program in python language the name of the program is factors.py
num= int(input("Please enter a positive integer: "))#Read the number by user
print("The factors of ",num,"are:")
for k in range(2,num): #iterating over the loop
if(num%k==0): #checking the condition
print(k)#display the factor
Output:
Please enter a positive integer: 12
The factors of 12 are:
2
3
4
6
Explanation:
Following are the description of the program
- Read the number by user in the "num" variable
- Iterating the for loop from k=2 to less then "num".
- In the for loop checking the factor of "num" variable by using % operator.
- Finally display the factor by using print function
