
In the task, you are provided with the root node of a binary tree, which is a data structure where each node has at most two children named as left and right child respectively. The requirement is to perform a postorder traversal of the tree and return the values of the nodes. Postorder traversal is a type of tree traversal where the nodes are visited in the following order: left child, right child, and then the root node. This sequence is applied recursively for all nodes in the tree.
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[0, 100].-100 <= Node.val <= 100The postorder traversal is profound in its applications, especially in mathematical expressions, and operations like delete operations on the tree. Let's break down the examples to better understand how to tackle the problem:
Example 1 Whit Input root = [1, null, 2, 3]:
null), and a right child with a value of 2 which further has one left child with a value of 3 and no right child.[3, 2, 1].Example 2 With Input root = [1, 2, 3, 4, 5, null, 8, null, null, 6, 7, 9]:
null left child and a right child 8.[4, 6, 7, 5, 2] whereas for subtree starting at node 3, it results in [9, 8, 3].[4, 6, 7, 5, 2, 9, 8, 3, 1].Example 3 With Input root = []:
root = []), there are no nodes to visit. Hence, the postorder traversal simply returns an empty array [].Example 4 With Input root = [1]:
[1], as there's only the root to visit.The operations are straightforward: check for the empty tree and return an empty list, otherwise, traverse the left subtree first, followed by the right subtree, and then visit the root at last. This pattern is repeated recursively for all subtrees within the main tree. With the given constraints, this method will effectively handle all scenarios within the specified limits.
This C++ solution implements a postorder traversal of a binary tree. It involves traversing the tree's nodes in the sequence of left child, right child, and then the node itself. The implementation leverages the Morris traversal technique, which is iterative and does not require additional memory for recursion or a stack.
The traversePostorder function begins by checking if the root node is NULL and, if so, returns an empty vector. It then introduces a dummy node to simplify edge case handling by connecting it initially to the root. Throughout the traversal, the algorithm uses a temporary pointer and a previous pointer to help manage and modify tree connections dynamically, avoiding recursion overhead.
The core of the algorithm lies in its ability to temporarily modify the tree structure without using additional space:
The reverseLinks function serves the purpose of in-place link reversal between the specified start and end nodes. This function facilitates the correct order of node processing. It employs the classic technique of reversing a linked list applied here to the right child pointers of the tree nodes.
Once the traversal is complete, the algorithm restores the original tree structure and continues until all nodes are processed. By ensuring that each non-null node and its children are correctly managed and then reversing the temporary modifications, this approach efficiently simulates a postorder traversal without additional memory usage typically incurred using stacks or recursion.
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