What if you could remove the last item from a long list instantly without checking every single one?
Why Delete from End of Doubly Linked List in DSA Javascript?
Imagine you have a long chain of paper clips linked together. You want to remove the last paper clip, but you only have access to the first one. You try to find the last clip by moving from one to the next until you reach the end.
Doing this by hand is slow and tiring because you have to check each clip one by one. If the chain is very long, it takes a lot of time. Also, if you lose track, you might accidentally break the chain or remove the wrong clip.
A doubly linked list keeps track of both the next and previous clips. This means you can quickly jump to the last clip and remove it without checking every clip. It makes removing the last clip fast and safe.
let current = head;
while (current.next !== null) {
current = current.next;
}
// remove currentlet last = tail; tail = tail.prev; if (tail !== null) { tail.next = null; } else { head = null; }
This lets you quickly and safely remove the last item from a list, even if the list is very long.
Think of a music playlist where you want to remove the last song you added. Using a doubly linked list, you can jump straight to the last song and remove it instantly.
Manual removal from the end is slow because you must check each item.
Doubly linked lists keep track of both directions, making removal fast.
Deleting from the end is efficient and safe with this structure.
Practice
tail pointer when you delete the last node from a doubly linked list?Solution
Step 1: Understand tail pointer role
The tail pointer always points to the last node in the list.Step 2: Effect of deleting last node
When the last node is deleted, tail must move to the previous node to remain correct.Final Answer:
It moves to the previous node of the deleted node. -> Option CQuick Check:
Tail updates to previous node [OK]
- Setting tail to null without checking list emptiness
- Not updating tail pointer after deletion
- Moving tail to next node which doesn't exist
Solution
Step 1: Move tail pointer to previous node
To delete last node, tail moves to tail.prev.Step 2: Set new tail's next to null
New tail's next must be null to mark end of list.Final Answer:
tail = tail.prev; tail.next = null; -> Option AQuick Check:
Correct tail update and next nullify [OK]
- Moving tail forward instead of backward
- Not setting tail.next to null
- Setting tail.prev to null incorrectly
1 <-> 2 <-> 3 <-> 4. After deleting the last node, what will be the new list?Solution
Step 1: Identify last node
Last node is 4, which will be removed.Step 2: Remove last node and update tail
Tail moves to node 3, and node 3's next becomes null.Final Answer:
1 <-> 2 <-> 3 -> Option BQuick Check:
Last node removed, list ends at 3 [OK]
- Forgetting to update tail pointer
- Not setting new tail's next to null
- Removing wrong node
if (tail === null) return; tail = tail.prev; tail.next = null;
Solution
Step 1: Check single node case
If list has one node, tail.prev is null, so tail becomes null.Step 2: Problem with tail.next assignment
After tail becomes null, tail.next causes error because tail is null.Final Answer:
It does not handle the case when list has only one node. -> Option DQuick Check:
Single node deletion needs special handling [OK]
- Not checking if tail is null after update
- Accessing properties of null tail
- Ignoring empty list case
10 <-> 20 <-> 30. After deleting the last node twice, what will be the state of the list?Solution
Step 1: Delete last node once
Last node 30 is removed, list becomes 10 <-> 20.Step 2: Delete last node again
Now last node 20 is removed, list becomes 10 only.Step 3: Verify final list
After two deletions, list is just node 10.Final Answer:
10 -> Option AQuick Check:
Two deletions remove last two nodes [OK]
- Assuming list becomes empty after two deletions
- Not updating tail pointer correctly
- Confusing node values after deletion
Ready to prove it?
Pass the test and this pattern moves unknown
