<u>Explanation</u>:
<u>Here's what the question entails in clearer detail;</u>
Find out the different intensities, the total power and the cost in € (from a 30-day month with the equipment connected all the time) in the following case: Component Voltage (V) Power (P) CPU 0.95 V 27.97 W RAM 1,257 V 2.96 W Graphics Card 3.28 V 75.3 W HDD 5.02 V 19.3 W Fans 12.02 V 2.48 W Motherboard 3.41 V 18.3 W
Answer:
(d) all of the above
Explanation:
This is because, not only is digital video a core technology for digital television, it also happens to be a core technology for video conferencing and video messaging. This could be seen in its application in messaging apps for private discussion of for holding official meetings between employees in virtual conference.
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.
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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: Image compression is the technique which is responsible for the reduction in the size of the image according to the need of the video technology. Image compression is done because of the following reasons:-
- Makes more space for the storage and creates space.
- It also reduces the time that is used up for the uploading of the video through internet.
- Text, labels etc might also be needed to inserted along with the image .