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.
The software development model that focuses on improving the product in small steps each time through the cycle is the Waterfall Process model
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The Waterfall Process model mainly focuses on going step by step to make sure the product improves sufficiently and significantly.
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- Marlon Nunez
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Answer:
I don't know? How do you feel about them?
Explanation:
Answer:
The answer is "Option A".
Explanation:
- In the given C++ Language program on line 8 compile-time error will occur, because in the code the conditional statement is used. In if block, we check two conditions together, which is the number variable value is greater than equal to 0 and check less than equal to 100.
- In this condition statement, a AND operator is used that execute when both condition is true, but in the last condition, we do not define a variable name that, checks value. That's why the program will give an error on line 8.
