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Home/ Questions/Q 809129
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Editorial Team
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Editorial Team
Asked: May 15, 20262026-05-15T00:40:36+00:00 2026-05-15T00:40:36+00:00

What is the time complexity of the following implemented algorithm? I should notice that

  • 0

What is the time complexity of the following implemented algorithm?

I should notice that length of b is enough to cover the element of a as an index.

void smax(int[] a, int n){    
    int[] b = new int[n];
    for (int i=0;i<b.length;i++){
        b[i]=0;
    }
    int m=0;
    while (m<b.length) {
        int k=a[0];
        for (int i=0;i<a.length;i++) {
            if (a[i]> k && b[a[i]]!=1) {
               b[a[i]]=1;
            }
         }
         m++;
    }
    for (int i=0;i<a.length;i++){
         if (b[a[i]]!=1){
            b[a[i]]=1;
         }
    }
    for (int j=0;j<b.length;j++){
         if (b[j]==1){
            System.out.println(j);
         }
    }
}
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1 Answer

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  1. Editorial Team
    Editorial Team
    2026-05-15T00:40:36+00:00Added an answer on May 15, 2026 at 12:40 am

    Looks like homework so the best answer would not only be the final answer but also one you could learn from.

    Let n = a.Lengh, m = b.Length

    for (int i=0;i<b.length;i++){
         b[i]=0;
      }
    

    makes one pass on b’s elements so it would contribute m steps.

    for (int i=0;i<a.length;i++){
         if (b[a[i]]!=1){
            b[a[i]]=1;
         }
      }
    

    makes one pass on a’s elements so it would contribute n steps.

    for (int j=0;j<b.length;j++){
         if (b[j]==1){
            System.out.println(j);
         }
      }
    

    makes one pass on b’s elements so it would contribute m steps.

    so far we have 2m+n

    int m=0;
      while (m<b.length) {
         int k=a[0];
         for (int i=0;i<a.length;i++) {
            if (a[i]> k && b[a[i]]!=1) {
               b[a[i]]=1;
            }
         }
         m++;
      }
    

    for every element of b there is a pass on all a’s elements which contribute mn steps.

    the sum of all steps is 2m+n+mn which in the asymptotic notation is O(mn).

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