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Description: - - - - - - - - - - - - Derive in details the complexity of the following code fragments in terms

Description:
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Derive in details the complexity of the following code fragments in terms
of the Big-O notation: (n is a very large number in all questions)
1)
for (i =1; i <= n; i++)
for (j =1 j <= n; j++){
x =2* y;
z = x--;
}
2)
for (i =1; i <= n; i++){
j = n;
while (j >=1){
x++;
j = j /2;
}
}
3)
i =1;
while (i != n)
i++;
4)
for (i =1 i <= n; i++)
if (i ==1|| i == n || i ==3)
for (j =1 j <= n; j++)
x++;
5) Provide the corresponding big-O notation for the following functions:
n^2+3n -7
5n^3-3n^2+8n -2
lg(n)-2+3n
nlg(n)- n +3

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