
In this problem, you are given an array of three-digit integers known as nums, where each integer uniquely represents a node in a binary tree with a maximum depth of less than 5. The structure of each three-digit integer is as follows:
d of the node within the tree, adhering to the constraint 1 <= d <= 4.p of the node on its particular level. This is based on the node's position within a full binary tree, where the possible positions range from 1 to 8.v of that node, ranging from 0 to 9.You need to determine the sum of all the path values from the root of the tree to its leaves. Each path's value is calculated from the sequence of nodes' values that you traverse from the root to a leaf node. The array you are given is guaranteed to represent a valid binary tree and is sorted in ascending order based on the depth and position of the nodes.
Input:
Output:
Explanation:
Input:
Output:
Explanation:
1 <= nums.length <= 15110 <= nums[i] <= 489nums represents a valid binary tree with depth less than 5.nums is sorted in ascending order.Understanding the Tree Structure:
Reconstruction of Tree:
nums array, decode each number into its depth, positional, and value components, and appropriately place it within a virtual binary tree structure.Calculating Sum of All Path Values:
Return the Total Sum:
Considering the constraints provided, such as the maximum possible number of nodes is 15 and the depth is less than 5, the approach described should be computationally feasible.
The provided solution in C++ focuses on calculating the sum of all root-to-leaf paths in a tree represented by a flattened data structure. Here is a concise breakdown of the process encapsulated in the calculatePathSum function:
Initialize an unordered map nodeValues to store the value of each node using a unique key derived from the node's position in the tree.
Use a loop to populate nodeValues from the numbers vector. Each number represents a node, where the integer division of the number by 10 gives the node position (key), and the remainder gives the node value.
Create a queue to manage the nodes as they are processed. Each element in the queue holds a pair consisting of the node key and the cumulative sum of values from the root to the current node.
Initialize the sum accumulator sumResult to zero.
Start with the root node, fetched from the first number in numbers, and push it onto the queue with its value.
Use a while loop to process each node in the queue:
sumResult.The loop continues until the queue is empty, indicating all possible paths have been processed.
Return sumResult, which now contains the sum of all root-to-leaf paths.
This approach efficiently calculates the total path sum using breadth-first search (BFS) by leveraging a queue for node processing and a map for quick lookup of node values.
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