Answer:
it shows number that is near the target figure, but not the actual figure
Explanation:
What Flippy Do Pro reveal about representing a very small number is a number that is near the expected number in value. This is because Flippy Do Pro would not reveal some particular lesser numbers in their precise value.
However, this often results in roundoff blunder, which is mostly caused by the inability of bit compositions to depict the outcome of numbers as it should precisely be.
Answer:
p(x,n)
1. if(n==0) [if power is 0]
2. then result =1.
3.else
4. { result=1.
5. for i=1 to n.
6. { result = result * x. } [each time we multiply x once]
7. return result.
8. }
Let's count p(3,3)
3
0, so come to else part.
i=1: result = result *3 = 3
i=2: result = result *3 = 9
i=2: result = result *3 = 27
Explanation:
here the for loop at step 4 takes O(n) time and other steps take constant time. So overall time complexity = O(n)
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