
Problem Statement
In this problem, you are provided with the root of a binary tree where each node exclusively contains a value of 0
or 1
. A distinctive feature of this tree is that each path from the root to a leaf node can be understood as a representation of a binary number, with the uppermost node (root) symbolizing the most significant bit.
To elucidate, consider a path of nodes bearing the values 0 -> 1 -> 1 -> 0 -> 1
. When interpreted as a binary number, this sequence translates to 01101
, which is equal to the decimal value 13
.
Your challenge is to compute and return the sum total of all the numbers represented by every root-to-leaf path within the given binary tree. The solution is ensured to fit within the limits of a standard 32-bit integer.
Examples
Example 1
Input:
root = [1,0,1,0,1,0,1]
Output:
22
Explanation:
(100) + (101) + (110) + (111) = 4 + 5 + 6 + 7 = 22
Example 2
Input:
root = [0]
Output:
0
Constraints
- The number of nodes in the tree is in the range
[1, 1000]
. Node.val
is0
or1
.
Approach and Intuition
This task entails navigating through every possible root-to-leaf path in the binary tree, converting the binary value represented by the path to a decimal number, and then summing these decimal values to produce a final result. Here's a breakdown of the method:
Utilize a Depth-First Search (DFS) strategy to traverse the tree. Starting from the root, move downwards through the tree exploring as far as possible along each branch before backtracking.
Maintain an ongoing count of the value for the current root-to-node path. This can be managed by taking the current value, shifting it left by one bit position (i.e., multiplying by 2 in binary terms), and then adding the value of the current node. This manipulation is akin to appending a bit to the end of a binary number.
Once a leaf node is reached (a node with no children), the accumulated value for that specific root-to-leaf path is a complete binary number. It should then be converted to its decimal equivalent (if it isn't implicitly treated as such by the programming language) and added to the total sum.
Ensure that every unique path is explored by recursively applying the aforementioned steps to each side of the branching node.
- Exploring different paths and correctly accumulating path values are central to the solution.
- Edge cases to consider include a tree with only the root node and the tree structure being skewed either left or right. In either scenario, ensure that the algorithms hold valid and no end node is left unvisited.
This strategy effectively captures in a binary tree each unique path's binary interpretation, ensuring that all paths contribute to the final summarized value. The boundaries set by the constraints guarantee the execution within efficient computational limits.
Solutions
- Java
class Solution {
public int calculateSum(TreeNode node) {
int totalSum = 0, currComposite = 0;
int levelDepth;
TreeNode stepBack;
while (node != null) {
if (node.left != null) {
stepBack = node.left;
levelDepth = 1;
while (stepBack.right != null && stepBack.right != node) {
stepBack = stepBack.right;
++levelDepth;
}
if (stepBack.right == null) {
currComposite = (currComposite << 1) | node.val;
stepBack.right = node;
node = node.left;
} else {
if (stepBack.left == null) {
totalSum += currComposite;
}
for(int i = 0; i < levelDepth; ++i) {
currComposite >>= 1;
}
stepBack.right = null;
node = node.right;
}
}
else {
currComposite = (currComposite << 1) | node.val;
if (node.right == null) {
totalSum += currComposite;
}
node = node.right;
}
}
return totalSum;
}
}
The solution presented involves a Java method titled calculateSum
which calculates the sums of binary numbers formed from root to leaf paths in a binary tree. The binary tree is traversed using a modified Morris Traversal technique, eliminating the need for additional data structures like stacks or recursion. This approach leverages links typically used for tree construction to perform in-order traversal.
The core of the function involves using the following computing techniques and operations:
- The function uses two main variables,
totalSum
andcurrComposite
.totalSum
stores the cumulative sum of all the root-to-leaf binary numbers, whilecurrComposite
keeps track of the current binary number being formed as the tree is traversed. - For each node, the function checks if it has a left child.
- If existent, it finds the rightmost node of the left subtree (using
stepBack
) and manipulates pointers to continue traversal without using additional space. - If this node's right pointer is null, the current node's value is added to
currComposite
(shifted left and OR'd with the node’s value). - If the right pointer of this node points back to the current node (
stepBack
), this suggests the end of the left subtree; thus, adjustments are made tocurrComposite
through bit shifting.
- If existent, it finds the rightmost node of the left subtree (using
- If the node doesn’t have a left child, the process involves directly adding the node's value to
currComposite
, shifting it left by one position, and OR with the node’s value.- Further, if the node also lacks a right child, this indicates a leaf node, where the current
currComposite
value represents a full root-to-leaf path, which is then added tototalSum
. - The traversal then proceeds to the right child.
- Further, if the node also lacks a right child, this indicates a leaf node, where the current
Key points of efficiency and effectivity stem from:
- Space efficiency by avoiding recursive stack calls or iterative stack use.
- Ensuring every bit manipulation (shifts and bitwise OR) directly contributes to forming binary numbers as per path traversal.
- Fallback mechanism through adjustments to
currComposite
upon exiting a subtree, ensuring accurate final values as each root-to-leaf path is concluded.
This method results in an optimized space complexity and leverages bitwise operations for an efficient run-time calculation, important for handling larger trees or systems with constrained resources.
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