Answer:
hotspots.
Explanation:
Hotspots is a small geographical location with at least one access point in an outdoor/indoor setting, that provide people with maximum wireless coverage within that area and its mostly uses a wireless local-area network (WLAN) using a router to connect to an Internet service provider.
<u>The most important job duty of a software developer is to develop a product/program that is easy to use and melts a customer’s need.</u>
<u></u>
Explanation:
Some other duties of a Software developer are
- Researching,designing and implementing new software program's and then managing them
- Testing and evaluating the developed software program's
- Identifying errors in the existing program's and modifying the same
- Writing effective codes
- employing various software tools
- Training new users
- Working closely with the other developers
Answer:
n computer science and computer programming, a data type or simply type is an attribute of data which tells the compiler or interpreter how the programmer intends to use the data. Most programming languages support basic data types of integernumbers (of varying sizes), floating-point numbers (which approximate real numbers), characters and Booleans. A data type constrains the values that an expression, such as a variable or a function, might take. This data type defines the operations that can be done on the data, the meaning of the data, and the way values of that type can be stored. A data type provides a set of values from which an expression(i.e. variable, function, etc.) may take its values.[1][2]
The click feature>........................................
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.
