Value-Shifting - AC in 64 ms
My first solution is "cheating" a little. Instead of really removing the nth node, I remove the nth value. I recursively determine the indexes (counting from back), then shift the values for all indexes larger than n, and then always drop the head.
class Solution: def removeNthFromEnd(self, head, n): def index(node): if not node: return 0 i = index(node.next) + 1 if i > n: node.next.val = node.val return i index(head) return head.next
Index and Remove - AC in 56 ms
In this solution I recursively determine the indexes again, but this time my helper function removes the nth node. It returns two values. The index, as in my first solution, and the possibly changed head of the remaining list.
class Solution: def removeNthFromEnd(self, head, n): def remove(head): if not head: return 0, head i, head.next = remove(head.next) return i+1, (head, head.next)[i+1 == n] return remove(head)
n ahead - AC in 48 ms
The standard solution, but without a dummy extra node. Instead, I simply handle the special case of removing the head right after the fast cursor got its head start.
class Solution: def removeNthFromEnd(self, head, n): fast = slow = head for _ in range(n): fast = fast.next if not fast: return head.next while fast.next: fast = fast.next slow = slow.next slow.next = slow.next.next return head
for _ in range(n):
what does this sentence mean, why is not for i in range(n):
if not fast:
why return head.next
Built-in variable. No need to create another one "i" since you use none of them. Just as counter I think.
Tried the 3rd one in Python and Java. No TLE. :)
Correct me if i am wrong but in the third solution below code can have a null pointer exception
for _ in range(n): fast = fast.next
@pepe_le_pew Yeah you're wrong.
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