Remove Nth Node From End of List
Given a list of values and an integer n, remove the n-th node from the end of the list and return the result as space-separated values.
Example:
1,2,3,4,5 2
1 2 3 5
- The input list is 1,2,3,4,5 and n=2, meaning we need to remove the 2nd node from the end.
- To find the node to remove, we calculate its position from the start: 5−2+1=4, so the 4th node from the start needs to be removed.
- The node at the 4th position has a value of 4, which is removed from the list.
- The resulting list is 1,2,3,5, which is returned as space-separated values: 1235.
Constraints:
- 1 <= number of nodes <= 30
- 0 <= Node.val <= 100
- 1 <= n <= number of nodes
Background Knowledge
The problem "Remove Nth Node From End of List" involves a linked list, which is a linear data structure where each element is a separate object, and each element (or "node") points to the next node in the sequence. This structure allows for efficient insertion and deletion of nodes at any position in the list. To solve this problem, you should be familiar with the basic operations of a linked list, such as traversal (iterating through the nodes) and node manipulation (inserting, deleting, or updating nodes).
In the context of this problem, it's essential to understand how to keep track of the current position in the list, especially when considering the end of the list. Since linked lists do not provide direct access to nodes by their index (like arrays do), you'll need to use a strategy that allows you to identify the nth node from the end. This might involve using two pointers or iterating through the list to gather information about its length or the position of specific nodes.
Understanding the trade-offs between different approaches, such as time complexity (how long the algorithm takes to complete) and space complexity (how much memory the algorithm uses), is also crucial. For example, if an approach requires extra memory to store information about the nodes, it might be less efficient in terms of space complexity, even if it's faster in terms of time complexity.
Algorithm/Approach
The general approach to solving this type of problem involves using a two-pointer technique. This technique is commonly used in linked list problems where you need to consider the relationship between nodes that are a certain distance apart. By maintaining two pointers that move through the list at different speeds or starting positions, you can create a "window" of nodes that helps you solve the problem. In this case, the goal is to remove the nth node from the end, which suggests that one pointer should be ahead of the other by n nodes.
Step-by-Step Strategy
To implement the solution:
- Initialize two pointers, both pointing to the head of the list.
- Move one pointer n steps ahead to create the initial gap between the two pointers.
- Then, move both pointers one step at a time until the leading pointer reaches the end of the list.
- At this point, the trailing pointer will be at the node right before the one you want to remove (the nth node from the end).
- Update the next pointer of the node before the one to be removed to skip over the nth node, effectively removing it from the list.
- Return the modified list.
Common Pitfalls
Be careful with edge cases, such as when n is equal to the length of the list (removing the head node) or when n is greater than the length of the list (which should be handled as an error or invalid input). Also, ensure that you're correctly updating the next pointers to avoid losing nodes or creating cycles in the list.
Time & Space Complexity
The expected time complexity for this problem is O(L), where L is the length of the linked list, since you're potentially traversing the list once. The space complexity should be O(1), as you're only using a constant amount of space to store the pointers and other variables, regardless of the size of the input list.