Algorithm - comparing performance -


Assume that I have 3 algiusither A, B and C, which process N records. 

  Algorithm A takes a 80n + 40 step algorithm B takes n ^ 2 + 30n step algorithm takes c 2 ^ n step   
 The algorithm is the most efficient  
  i) 10 & lt; N & lt; 50   
 The way I solve this problem, it is to assume that the value is equal to the value I  
 i) Let n = 20  
 Therefore  
  algo A - 80 (20) + 40 = 1640 step algo B - 20 ^ 2 = 400 step algo C - 2 ^ 20 = 1048576 Step < / Code>  
 That's why Algon B is most effective.  
 I am not sure if I have correctly evaluated the performance of 3 algorithms, because I am replacing it with a value rather than using Big O Notation?  
 Please give advice Thanks   
 
 
 Deals with Big O Notation N Which is arbitrarily grown, i.e. the calculation of the O (n) expression n - & gt; Must be for infinity N is given in your case, so the overall running time can be calculated properly, the way you did it.

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