The time complexities of the functions is (a) f1 = f3 < f2
<h3>How to compare the time complexities?</h3>
The time complexities of the functions are dependent on the loops and conditional statements in the function.
From the given code, we have the following highlights:
- Function f1: 2 loops and 1 conditional statement
- Function f2: 2 loops and 1 conditional statement in the second loop
- Function f3: 2 loops and 1 conditional statement
Considering the function f2
The conditional statement in the second loop implies that the conditional statement would be executed several times as long as the loop is valid.
This means that:
f2 > f1 and f2 > f3
Functions f1 and f3 have equal loops and conditional statement.
This means that
f1 = f3
So, we have:
f2 > f1 = f3
Rewrite as:
f1 = f3 < f2
Hence, the time complexities of the functions is (a) f1 = f3 < f2
Read more about time complexities at:
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Answer:
:Connection security rules –less common rules that are used to secure the traffic between two specific computers while it crosses the network. This type of rule is used in very controlled environments with special security requirements.
Answer:
The computer that responds to requests from the client computer:
Server
Connects network devices or different parts of a network:
Switch
A piece of equipment that directs data where it should go:
Router
Connects many different Ethernet devices and allows them to connect to the network with one connection:
Hub
The computer that uses service provided by a server:
Client
Explanation:
Answer: d. Statement 1 is an assertion, Statement 2 is the solution.
Explanation:
The Longest Match rule is a rule which states that whichever lexeme is scanned should always be determined on the support of the longest match available among all the tokens which is accessible. The lexical analyzer used should also follow the rules arrangement, where a reserved word, e.g., a keyword, in a language is given priority over the user input.
Answer:
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Explanation: