Answer:
Option C is correct.
Explanation:
When the supply of system engineers rises while demand for such workers falls at the similar period, Wages will drop while competition for employment rises.
According to the law of demand, when the supply of one commodity is increased then the demand for other commodity falls. So, the following option C is correct according to the following scenario.
Other options are incorrect because they are not relevant according to the following scenario.
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:
Speakers.
Explanation: Cause they only output sound, and are devices, further more they are not used to output images, like how could speakers output images using sound? They can't.
Answer:
Zevzda
Explanation:
Check for yourself if you think i'm wrong
