Problem of the day
Given a singly linked list of integers. Your task is to return the head of the reversed linked list.
For example:The given linked list is 1 -> 2 -> 3 -> 4-> NULL. Then the reverse linked list is 4 -> 3 -> 2 -> 1 -> NULL and the head of the reversed linked list will be 4.
Follow Up :
Can you solve this problem in O(N) time and O(1) space complexity?
The first line of input contains an integer 'T' representing the number of test cases or queries to be processed. Then the test case follows.
The only line of each test case contains the elements of the singly linked list separated by a single space and terminated by -1. Hence, -1 would never be a list element.
Output Format :
For each test case, print the given linked list in reverse order in a separate line.
Note :
You do not need to print anything, it has already been taken care of. Just implement the given function.
1 <= T <= 5
0 <= L <= 10^5
1 <= data <= 10^9 and data != -1
Time Limit: 1 sec
1
1 2 3 4 5 6 -1
6 5 4 3 2 1 -1
For the first test case, After changing the next pointer of each node to the previous node, The given linked list is reversed.
1
10 21 3 2 4 -1
4 2 3 21 10 -1
Try to reverse the Linked List node using recursion by finding the last node.
The brute force approach is to use recursion. First, we reach the end of the Linked List recursively and at last node, we return the last node, which becomes the new head of the partially reversed Linked List. While coming back from each recursion call we add the current node in the current recursion call to the last node of the partially reversed Linked List and assign the current node to null.
Steps:
O(N ^ 2), where N is the number of nodes in the Linked List.
In the worst case, we are traversing the whole Linked List O(N) using recursion, and with each recursion call we are finding the last node of the reverse Linked List which takes O(N). Hence, the overall complexity will be O(N ^ 2).
O(N), where N is the total number of nodes in the Linked List.
In the worst case, extra space is required for the recursion stack.