Question: 4. Since Big-O notation is a mathematical tool for functions like f(N) or g(N), how is it applicable to algorithm analysis? 5. Which grows faster,

4. Since Big-O notation is a mathematical tool for functions like f(N) or g(N), how is it applicable to algorithm analysis?

5. Which grows faster, 2^n or n! ? Why?

6. Give the Big-O notation for the following expressions:

a. 4n^5 + 3n^2 - 2

b. 5^n - n^2 + 19

c. (3/5)*n d. 3n * log(n) + 11

e. [n(n+1)/2 + n] / 2

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