430. Flatten a Multilevel Doubly Linked List - Detailed Explanation
Problem Statement
Description:
You are given the head of a doubly linked list where in addition to the next and prev pointers, each node has a child pointer that may or may not point to a separate doubly linked list. Flatten the list such that all the nodes appear in a single-level, doubly linked list. The nodes should appear in the same order as a depth-first traversal.
Example 1:
- Input:
A list represented visually as:1 --- 2 --- 3 --- 4 --- 5 --- 6 | 7 --- 8 --- 9 --- 10 | 11--12
- Output:
The flattened list should be:1 --- 2 --- 3 --- 7 --- 8 --- 11 --- 12 --- 9 --- 10 --- 4 --- 5 --- 6
- Explanation:
The child list starting at node 7 is inserted between 3 and 4. Node 8’s child list (11–12) is inserted between 8 and 9.
Example 2:
- Input:
A list with a single node with no child. - Output:
The same single node. - Explanation:
There is nothing to flatten.
Example 3:
- Input:
A list where every node has a child and the structure is deeply nested. - Output:
A fully flattened list following the depth-first traversal order.
Constraints:
- The number of nodes in the list is in the range [0, N].
- The value of each node is an integer.
- The child pointer of a node might be null.
- The list might be empty (i.e., head is null).
Hints Before Solving
- Hint 1: Consider performing a depth-first traversal. When you encounter a node with a child, recursively flatten that child list and insert it between the current node and the next node.
- Hint 2: Think about how to reconnect the prev and next pointers after inserting the flattened child list.
- Hint 3: You might need to return the tail of the flattened sublist to link it properly with the remaining part of the main list.
Approaches to Solve the Problem
Approach 1: Recursive Depth-First Search (DFS)
Explanation:
- Idea:
Use recursion to process the list. For each node, if a child exists, recursively flatten the child list and splice it between the current node and its next node. - Steps:
- Start at the head and iterate through each node.
- When you find a node with a child:
- Recursively flatten the child list.
- Connect the current node’s next pointer to the head of the flattened child list.
- Connect the flattened child list’s tail to the original next node.
- Set the child pointer of the current node to null.
- Return the tail of the flattened list to help in linking lists at higher levels.
Visual Walkthrough:
Imagine you are at node 3 in the list. Node 3 has a child pointing to node 7. You flatten the list starting from 7, which gives you a sublist (7 → 8 → 11 → 12 → 9 → 10). Then, you insert this flattened sublist between 3 and 4, adjusting the pointers accordingly.
Approach 2: Iterative Using a Stack
Explanation:
- Idea:
Use a stack to mimic recursion and perform a depth-first traversal iteratively. - Steps:
- Initialize a pointer to the head and an empty stack.
- Traverse the list:
- If the current node has a child and a next node, push the next node onto the stack.
- Set the current node’s next pointer to its child and update the prev pointer.
- Set the child pointer to null.
- When you reach a node with no next pointer, pop a node from the stack (if available) and attach it as the next node.
- Continue until the stack is empty and the list is fully flattened.
Code Implementations
Python Implementation
Java Implementation
Complexity Analysis
-
Time Complexity:
O(n) – Each node in the multilevel list is processed exactly once. -
Space Complexity:
O(n) in the worst case due to the recursion stack (or iterative stack if using that approach). For a flat list or shallow hierarchy, the space overhead will be lower.
Common Mistakes & Edge Cases
- Common Mistakes:
- Forgetting to update both prev and next pointers when splicing the child list.
- Not setting the child pointer to null after flattening, which can lead to incorrect structures or cycles.
- Losing track of the tail of the flattened child list when reconnecting the remaining part of the list.
- Edge Cases:
- The list is empty (head is null).
- The list has only one node with no child.
- Nodes that have a child pointer but no next pointer.
- Deeply nested child lists where the recursion depth can become significant.
Alternative Variations and Related Problems
-
Alternative Variation:
Instead of recursion, use an iterative solution with a stack to flatten the list. This is particularly useful when the recursion depth might be large. -
Related Problems for Further Practice:
- Flatten Binary Tree to Linked List:
Convert a binary tree into a flattened linked list in-place. - Nested List Weight Sum:
Process nested lists where each element could either be an integer or another list. - Flatten Nested List Iterator:
Design an iterator that flattens a nested list structure.
- Flatten Binary Tree to Linked List:
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