Answer:
O(n^2)
Explanation:
The number of elements in the array X is proportional to the algorithm E runs time:
For one element (i=1) -> O(1)
For two elements (i=2) -> O(2)
.
.
.
For n elements (i=n) -> O(n)
If the array has n elements the algorithm D will call the algorithm E n times, so we have a maximum time of n times n, therefore the worst-case running time of D is O(n^2)
The answer & explanation for this question is given in the attachment below.
Opening attachments or links from unknown or spoofed emails. note: shown above are two examples of how viruses can often appear as legitimate messages, but are designed to trick the computer user. ...
Downloading software from malicious sites. ...
Online Ads. ...
Social media. ...
Unpatched software.
follow me
Since you have not provided the choices wherein I will have to choose from to arrive at an answer, I will just explain to you the concept revolving around a hosted blog software. Hosted blog software are basically installed by the owner of the web server in which among its famous platforms is the Blogger.
Answer:
Here is the Python program which has a function sum_scores:
def sum_scores(score1, score2, score3, score4):
sum = score1 + score2 + score3 + score4
print(sum)
sum_scores(14,7,3,0)
Explanation:
- Method sum_scores takes four arguments, score1, score2, score3, score4.
- The sum variable adds these four scores and stores the value of their addition.
- Lastly print statement is used to print the value stored in sum variable which is the value obtained by adding the four scores.
- Last statement calls the sum_scores method and passes four values to it which are 14,7,3,0
- The output of the above program is:
- 24
- If you want to use return statement instead of print statement you can replace print(sum) with return sum. But in order to display the sum of the scores you can replace sum_scores(14,7,3,0) with print(sum_scores(14,7,3,0))
- The program along with the output is attached as a screenshot.