To understand the problem of "removing the Nth node from the end of a list," particularly in the context of a singly linked list, we need to establish some fundamental principles about linked lists and the specific challenges this problem presents.
Definition: A linked list is a linear collection of elements, called nodes, where each node points to the next node in the sequence. In a singly linked list, each node has two attributes: value
(the data it holds) and next
(a reference/pointer to the next node in the list).
Traversal: To access a node in a linked list, you start from the head (the first node) and follow the next
references until you reach the desired node. This is because nodes in a linked list are not indexed like an array.
Removal of a Node: To remove a node, you adjust the next
pointer of the previous node so that it bypasses the node to be removed, effectively excluding it from the list.
The challenge here is twofold:
Identifying the Nth Node from the End: Unlike an array, a linked list doesn’t provide direct access to its nodes. To find the Nth node from the end, you first need to determine its position from the beginning.
Single Pass Requirement: Ideally, you want to solve this in a single pass through the list (i.e., without traversing the list more than once), which adds a layer of complexity.
The most efficient solution involves the following steps:
Two-Pointer Technique: Use two pointers, fast
and slow
. Initially, both start at the head.
Advance fast
by N nodes: Move the fast
pointer N nodes ahead in the list. This creates a gap of N nodes between fast
and slow
.
Move both pointers: Traverse the list by advancing both pointers until fast
reaches the last node. At this point, slow
will be just before the Nth node from the end.
Remove the Nth Node: Adjust the next
pointer of the node before the Nth node (slow
) to bypass the Nth node.
class ListNode:
def __init__(self, value=0, next=None):
self.value = value
self.next = next
def removeNthFromEnd(head, n):
dummy = ListNode(0, head) # A dummy node to handle edge cases
fast = slow = dummy # Initialize both pointers to the dummy node
# Advance 'fast' by 'n' nodes
for _ in range(n):
fast = fast.next
# Traverse the list until 'fast' reaches the end
while fast.next:
fast = fast.next
slow = slow.next
# 'slow' is now just before the Nth node, remove it
slow.next = slow.next.next
return dummy.next # Return the new head of the list
n
, and removes the Nth node from the end of the list.fast
and slow
pointers are used to maintain the gap of n
nodes between them.fast
is n
nodes ahead, both pointers are advanced until fast
is at the end, ensuring slow
is just before the target node. The target node is then skipped over by adjusting slow.next
.This approach ensures that the operation is performed with a time complexity of O(L) (where L is the length of the list) and a space complexity of O(1), as it requires a single pass through the list without additional storage.