What is the big-o running time of the subsequent code


Question 1:  What is the Big-O running time of the subsequent code fragment?

    Assume lst1 has N items, and lst2 has M items.

   public static int Count( List lst1, List lst2)

   {

      Iterator itr1 = lst1.iterator();

      int count=0;

      while ( itr1.hasNext() )

      {

         Integer x = itr1.next();

         Iterator itr2 = lst2.iterator();

         while ( itr2.hasNext() )

            if ( x.equals( itr2.next()) )

               count++;

      }

      return count;

   }

   a.  If an ArrayList is passed for lst1 and lst2.  Clarify your answer.

   b.  If a LinkedList is passed for lst1 and lst2.  Clarify your answer.

Question 2:  What is the Big-O running time of the subsequent code fragment?

    Assume lst has N items.

     public static int calc( List lst )

      {

         int count = 0;

         int N = lst.size();

 

         for ( int i=0; i

         {

            if (lst.get(i) > 0)

               sum += lst.get(i);

            else

               sum += lst.get(i) * lst.get(i);

         }

         return sum;

      }

   a.  If an ArrayList is passed.  Describe your answer.

   b.  If a LinkedList is passed.  Describe your answer.

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Computer Engineering: What is the big-o running time of the subsequent code
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