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Delete the Middle Node of Linked List

Problem Statement:​

You are given the head of a linked list. Delete the middle node, and return the head of the modified linked list.

The middle node of a linked list of size n is the ⌊n / 2⌋th node from the start using 0-based indexing, where ⌊x⌋ denotes the largest integer less than or equal to x.

  • For n = 1, 2, 3, 4, and 5, the middle nodes are 0, 1, 1, 2, and 2, respectively.

Example 1:

Input: head = [1,3,4,7,1,2,6]
Output: [1,3,4,1,2,6]
Explanation:
The above figure represents the given linked list. The indices of the nodes are written below.
Since n = 7, node 3 with value 7 is the middle node, which is marked in red.
We return the new list after removing this node.

Example 2:

Input: head = [1,2,3,4]
Output: [1,2,4]
Explanation:
The above figure represents the given linked list.
For n = 4, node 2 with value 3 is the middle node, which is marked in red.

Example 3:

Input: head = [2,1]
Output: [2]
Explanation:
The above figure represents the given linked list.
For n = 2, node 1 with value 1 is the middle node, which is marked in red.
Node 0 with value 2 is the only node remaining after removing node 1.
  • Example:



✅ Solution: Two Pointer Technique (Fast & Slow Pointers)​

class Solution {
public:
ListNode* deleteMiddle(ListNode* head) {
// If there's only one node or list is empty, return NULL
if(head == NULL || head->next == NULL) return NULL;

ListNode *fast = head;
ListNode *slow = head;
ListNode *prev = NULL;

// Move fast by 2 and slow by 1 to find the middle
while(fast != NULL && fast->next != NULL){
prev = slow; // Keep track of node before slow
slow = slow->next; // Move slow 1 step
fast = fast->next->next; // Move fast 2 steps
}

// Delete the middle node
prev->next = slow->next;

return head;
}
};


📝 How It Works​

  • The task is to delete the middle node of a singly linked list.
  • Uses two pointers:
    • fast moves 2 steps at a time.
    • slow moves 1 step at a time.
  • When fast reaches the end, slow will be at the middle.
  • prev tracks the node just before slow.
  • We remove the middle node by doing: prev->next = slow->next.

🧩 Key Formula / Recurrence​

There’s no recurrence here. Key movement rule is:

When fast reaches the end, slow is at the middle.


⏱️ Time & Space Complexity​

MetricComplexity
⏱️ TimeO(N) — traverses the list once
🪄 SpaceO(1) — constant space

⚠️ Edge Cases​

  • ✅ Empty list → return NULL
  • ✅ Only one node → return NULL (middle is the node itself)
  • ✅ Two nodes → delete second one (as per problem definition)
  • ✅ Even-length list → delete second middle (i.e., n/2th node)

💡 Other Approaches​

ApproachTimeSpace
Count length, then go to middleO(N)O(1)
Use vector to store nodesO(N)O(N)
Recursive approachO(N)O(N) recursion stack


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