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Home/ Questions/Q 7190361
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Editorial Team
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Editorial Team
Asked: May 28, 20262026-05-28T19:29:52+00:00 2026-05-28T19:29:52+00:00

find the big oh characterization input: n s<-0 for i<-1 to n^2 do for

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find the big oh characterization

input: n  

s<-0  
for i<-1 to n^2 do  
  for j<-1 to i do  
    s<-s+i

Both loops iterate n^2 times. I’m not sure if I should add or multiply the loops. Right now I think the answer is O(n^4).

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  1. Editorial Team
    Editorial Team
    2026-05-28T19:29:53+00:00Added an answer on May 28, 2026 at 7:29 pm

    The outer loops i from 0 to n^2, while the inner one loops j from 1 to i.

    Thus, the inner loop has complexity of i (inner loop needs i steps, i is varying). Let us denote the runtime of the inner loop by IL(i)=i.

    To get the total runtime, we see that the inner loop is executed n^2 times with varying “parameter” i. Thus, we obtain as total runtime:

     n^2           n^2
    ----          ----
    \     IL(i) = \    i 
    /             /
    ----          ----
     i=1           i=1
    

    That is, you have to sum up all numbers from 1 to n^2. There are many basic textbooks explaining how to evaluate this.

    The result is (n^2)(n^2+1)/2, which leads to an overal complexity of O(n^4).

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