Answer and Explanation:
To calculate Big O, go through each line of code and determine O(!), O(n) and return your calculation.
For example,
In O (5 +6n), where 6 5 represent five instances of O(1), and 6 represent the 6 O(n).
We compute the time complexity of the algorithm. We get the result, just an estimation. In given algorithms, run time in milliseconds has been provided, such as in T (1) algorithm process in 512 milliseconds and T(2) algorithms process 8129 milliseconds. But big O notation not measured in milliseconds. Information given is not enough to calculate the big O notation.
It’s 12 because 3 times 4 is twelve, hope i helped!
Answer:
I think it is network security
Explanation:
Heard in an ad before :T
Answer:
Its edition 7, referred to as BT.601-7, was approved in March 2011 and was formally published in October 2011.
So it means it has been revised at least 7 times.
Answer:
Explanation:
- We declare the variable about the zoo with the owl's quantity, we could put any integer.
- We make the sum operation zooA + zooB, with the variable total_owls.
- we print the result about the two zoo.
num_owls_zooA= 3
num_owls_zooB = 4
total_owls = 0
total_owls = num_owls_zooA + num_owls_zooB
print('Number of owls:', total_owls)
