I was given a two arraylists which were unsorted and have a single sorted list. I was not allowed to sort the first two lists.
I just dumped both lists in the priority queue and pulled the values out and put it into the third list. Like..
public static void sortList() {
ArrayList<Integer> l1 = new ArrayList<>();
l1.add(10);
l1.add(11);
l1.add(8);
l1.add(15);
l1.add(2);
ArrayList<Integer> l2 = new ArrayList<>();
l2.add(11);
l2.add(2);
l2.add(15);
l2.add(18);
PriorityQueue<Integer> queue = new PriorityQueue<>();
for (int i = 0; i < l1.size(); i++) {
queue.add(l1.get(i));
}
for (int i = 0; i < l2.size(); i++) {
queue.add(l2.get(i));
}
ArrayList<Integer> list3 = new ArrayList<>();
while (!queue.isEmpty()) {
System.out.println(queue.peek());
list3.add(queue.poll());
}
}
Is there another way of solving this with better time complexity or space complexity?
There is no need to use the extra priority queue.
This problem can be solved using 2 methods:
Method 1:
First concatenate the 2 lists and then sort.
Considering, Size of list 1 = n
and Size of list 2 = m
Time complexity:
O((n+m) log(n+m))
Auxiliary Space complexity:
O(n+m)
Method 2:
First sort both lists and then merge.
Time complexity:
O( nlog(n) + mlog(m) + (n+m))
Auxiliary Space complexity:
O(n+m)
Conclusion: It is obvious from above time complexities that method 2 is better than method 1, and the space complexity for both methods remain the same.
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