Answer:
O(N!), O(2N), O(N2), O(N), O(logN)
Explanation:
N! grows faster than any exponential functions, leave alone polynomials and logarithm. so O( N! ) would be slowest.
2^N would be bigger than N². Any exponential functions are slower than polynomial. So O( 2^N ) is next slowest.
Rest of them should be easier.
N² is slower than N and N is slower than logN as you can check in a graphing calculator.
NOTE: It is just nitpick but big-Oh is not necessary about speed / running time ( many programmers treat it like that anyway ) but rather how the time taken for an algorithm increase as the size of the input increases. Subtle difference.
Answer:
You can try emailing tech support and describing your issue. In order to get the best help as quickly as possible, try providing screenshots of what happens when you sign in or describe everything you see on the screen when the problem occurs, and quote error messages directly when possible.
D. Plot because a,b,and c is consider plot can i have brainlest answer please
Answer:
It's Not At All Because It's Just Like Yku Thinking Of Something
Explanation:
not at all
