Answer:
b. The Safeguards Rule
Explanation:
According to a different source, these are the options that come with this question:
a. The Information Assurance Rule
b. The Safeguards Rule
c. The Safety Rule
d. The Guardian Rule
This rule is called the <em>Safeguards Rule</em>, and it comes from the Gramm–Leach–Bliley Act (GLBA), also known as the Financial Services Modernization Act of 1999. This is an act of Congress signed by President Bill Clinton that removed barriers among banking companies, securities companies and insurance companies. This meant that organizations such as commercial banks, investment banks, securities firms, and insurance companies were able to consolidate.
Big-O notation is a way to describe a function that represents the n amount of times a program/function needs to be executed.
(I'm assuming that := is a typo and you mean just =, by the way)
In your case, you have two loops, nested within each other, and both loop to n (inclusive, meaning, that you loop for when i or j is equal to n), and both loops iterate by 1 each loop.
This means that both loops will therefore execute an n amount of times. Now, if the loops were NOT nested, our big-O would be O(2n), because 2 loops would run an n amount of times.
HOWEVER, since the j-loop is nested within i-loop, the j-loop executes every time the i-loop <span>ITERATES.
</span>
As previously mentioned, for every i-loop, there would be an n amount of executions. So if the i-loop is called an n amount of times by the j loop (which executes n times), the big-O notation would be O(n*n), or O(n^2).
(tl;dr) In basic, it is O(n^2) because the loops are nested, meaning that the i-loop would be called n times, and for each iteration, it would call the j-loop n times, resulting in n*n runs.
A way to verify this is to write and test program the above. I sometimes find it easier to wrap my head around concepts after testing them myself.
Answer:
The correct answer is: Option OD: function
Explanation:
Many programming languages use functions to make the coding simple and easy to understand. A function is like a small unit that takes input in the form of arguments or parameters, does the processing on the input and returns the output.
Hence,
The correct answer is: Option OD: function
Answer:
It counts the number of items in the given list that are less than Description temp:
Explanation:
Following are the description of the loop
- In the given question initially, the value of "j" variable is initialized to 0.
- After that loop will iterate less then the length of the list array.
- The if(list[j] < temp) checks the condition if it is true then c++ increment the value by 1
- j++ increment the value of "j" by 1.
