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This approach leverages the fact that we have access to the node to be deleted and that deletion does not mean removing from memory but rather bypassing this node.
By copying the value from the next node to the node to be deleted and rearranging the pointers, we can effectively 'delete' the node without needing access to the head of the list.
Time Complexity: O(1) since we're performing constant-time operations.
Space Complexity: O(1) because we aren't using any auxiliary data structures.
1def deleteNode(node):
2 if not node or not node.next:
3 return
4 node.val = node.next.val
5 node.next = node.next.nextPython solution is straightforward; we reassign the value and pointer, with no need for explicit memory management.
This approach uses two pointers to manage nodes, allowing for a genuine swap and linkage manipulation. It reinforces the conceptual understanding of linked list pointer adjustments.
Note: The fundamentals are the same as we still replace and link to carry out the 'deletion'.
Time Complexity: O(1), never fluctuating beyond direct node handling.
Space Complexity: O(1), not utilizing external structures.
1 if (node == null || node.next == null) return;
node.val = node.next.val;
node.next = node.next.next;
}C# effectively teaches node and pointer adjustments within its garbage collection framework, emphasizing node-value updates.