
In this problem, we are provided with a binary search tree (BST) and two integers, low and high. Our task is to compute the sum of the values of all nodes whose values fall within the inclusive range [low, high]. The BST is defined such that for each node, the left subtree only contains nodes with values less than the node's value, and the right subtree only contains nodes with values greater than the node's value. Each node in the BST contains a unique value, making our search straightforward as there are no duplicate values to handle. The challenge lies in efficiently traversing the tree and aggregating the sum.
Input:
Output:
Explanation:
Input:
Output:
Explanation:
[1, 2 * 104].1 <= Node.val <= 1051 <= low <= high <= 105Node.val are unique.Understanding the Binary Search Tree (BST) properties:
Strategy to solve the problem:
low and high.Detailed decision-making:
low, skip the left subtree since all those values are also less.high, skip the right subtree.[low, high], include its value in the sum and continue to explore both subtrees.Efficiency considerations:
[low, high] or are needed to reach such nodes are visited.By leveraging the properties of the BST and using selective traversal, we can efficiently compute the sum of node values that fall within a specified range, often skipping large portions of the tree that do not need to be explored. This problem highlights the effectiveness of understanding underlying data structures for optimal algorithmic solutions.
This Java solution uses a non-recursive approach to calculate the sum of values within a specified range [L, H] in a Binary Search Tree (BST). The method, sumRangeBST(TreeNode node, int L, int H), utilizes a Stack<TreeNode> to iterate through the tree without recursion.
The algorithm works as follows:
total to store the sum of nodes' values that fall within the range.Stack<TreeNode> and push the root node onto the stack.[L, H]. If so, add the value to total.L, push the left child to the stack.H, push the right child to the stack.With this implementation, you efficiently explore only the relevant parts of the BST, avoiding unnecessary traversal and achieving optimized performance especially for larger trees. This method ensures a stack-based DFS execution where only relevant subtrees are explored based on the comparison with limits L and H. It is a robust solution handling the structure and constraints of BST efficiently.
The solution presented outlines a method to calculate the sum of values of all nodes in a binary search tree (BST) that fall within a given range, defined by min_val and max_val. This Python function named sumBST uses a non-recursive, iterative approach to traverse the BST while accumulating the sum of node values that respect the range criteria.
Here's a breakdown of the procedure:
total to zero to store the cumulative sum of node values that fall within the specified range.nodes initially consisting of the node_root, which acts as a stack to manage the nodes yet to be processed.while loop that continues as long as there are nodes in the nodes list:pop().min_val and max_val, add its value to total.min_val is less than the current node's value.max_val.total upon completion of the loop.This function effectively balances the traversal without the need for recursion, ensuring efficient handling of large data structures by using an iterative approach with a stack. Its check before traversal of child nodes also minimizes unnecessary operations, promoting faster computation by focusing only on relevant portions of the BST.
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