
In this problem, we are dealing with an n-ary tree where each node can have multiple children. The task is to perform a preorder traversal of the tree and return the values of the nodes. Preorder traversal is a type of depth-first traversal where the node is processed before its children.
The n-ary tree is given in a serialized form following the level order traversal. The serialization distinguishes between different levels of children using a null value. Your function will take the root of the tree as input and should output a list representing the preorder traversal of the tree nodes.
Input:
Output:
Input:
Output:
[0, 104].0 <= Node.val <= 1041000.The problem of performing a preorder traversal on an n-ary tree can be approached both recursively and iteratively.
Recursive Approach:
The recursive approach aligns intuitively with the definition of preorder traversal, which is to process the node itself followed by recursively processing the children from left to right.
Iterative Approach using a Stack:
The use of a stack helps simulate the recursive calls of preorder traversal in an iterative manner. The aim is to process each node and then its children from left to right, which is achieved by controlling the order of nodes placed in the stack.
The traversal of an n-ary tree, requires considering all direct children of each node, which makes the preorder traversal particularly well-suited, as it inherently starts processing from the root, moving downwards and leftwards recursively or iteratively, ensuring all nodes are accessed in the required order.
To achieve an N-ary tree preorder traversal in Java, implement the getPreorder function within your Solution class. This function takes in the root of an N-ary tree (Node rootNode) and returns a list of integers representing the traversal order. Here are the steps the code follows to perform the traversal:
LinkedList<Node> named nodeStack to help manage the nodes while traversing, and a LinkedList<Integer> named traversalResult to store the traversal sequence.rootNode is null. If it is, return an empty traversalResult list immediately to signify that no nodes exist to be traversed.rootNode to nodeStack to kickstart the traversal process.nodeStack is not empty. Within the loop:nodeStack using pollLast(), referencing it as currentNode. This node represents the current focus in the traversal.currentNode.val (the value of the current node) to traversalResult.currentNode to ensure they are processed in the order from last to first when added to nodeStack. This step is crucial because LinkedList additions happen at the end, but the traversal needs to process the first child first in a preorder scenario.nodeStack.traversalResult which will now contain the values of the nodes in the order they were visited in the preorder traversal.This implementation ensures that the tree nodes are visited in the correct preorder sequence using a non-recursive approach, leveraging the properties of a stack-based iteration.
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