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Finding minimum absolute difference within a Binary Search Tree in JavaScript
We are required to write a JavaScript function that takes in the root of a BST that holds some numerical data like this:
1
\
3
/
2
The function should return the minimum absolute difference between any two nodes of the tree.
For the above tree, the output should be:
const output = 1;
because |1 - 2| = |3 - 2| = 1
Understanding the Approach
The key insight is that in a Binary Search Tree, an in-order traversal visits nodes in ascending order. Therefore, the minimum difference will always be between two consecutive nodes in this sorted sequence.
Example Implementation
class Node {
constructor(data) {
this.data = data;
this.left = null;
this.right = null;
}
}
class BinarySearchTree {
constructor() {
this.root = null;
}
insert(data) {
var newNode = new Node(data);
if (this.root === null) {
this.root = newNode;
} else {
this.insertNode(this.root, newNode);
}
}
insertNode(node, newNode) {
if (newNode.data < node.data) {
if (node.left === null) {
node.left = newNode;
} else {
this.insertNode(node.left, newNode);
}
} else {
if (node.right === null) {
node.right = newNode;
} else {
this.insertNode(node.right, newNode);
}
}
}
}
const BST = new BinarySearchTree();
BST.insert(1);
BST.insert(3);
BST.insert(2);
const getMinimumDifference = function(root) {
const nodes = [];
// In-order traversal to get sorted values
const dfs = (root) => {
if (root) {
dfs(root.left);
nodes.push(root.data);
dfs(root.right);
}
};
dfs(root);
// Find minimum difference between consecutive nodes
let result = nodes[1] - nodes[0];
for (let i = 1; i < nodes.length - 1; i++) {
result = Math.min(result, nodes[i + 1] - nodes[i]);
}
return result;
};
console.log(getMinimumDifference(BST.root));
Output
1
How It Works
The algorithm works in two phases:
- In-order Traversal: Visit nodes in left-root-right order, which gives us values in ascending order for a BST
- Find Minimum Difference: Compare consecutive values in the sorted array to find the smallest difference
Optimized Single-Pass Solution
We can optimize this to avoid storing all nodes by tracking the previous value during traversal:
const getMinimumDifferenceOptimized = function(root) {
let minDiff = Infinity;
let prevValue = null;
const inOrder = (node) => {
if (!node) return;
inOrder(node.left);
if (prevValue !== null) {
minDiff = Math.min(minDiff, node.data - prevValue);
}
prevValue = node.data;
inOrder(node.right);
};
inOrder(root);
return minDiff;
};
// Test with the same BST
console.log(getMinimumDifferenceOptimized(BST.root));
1
Time and Space Complexity
| Approach | Time Complexity | Space Complexity |
|---|---|---|
| Two-pass (with array) | O(n) | O(n) |
| Single-pass (optimized) | O(n) | O(h) where h is tree height |
Conclusion
Finding the minimum absolute difference in a BST leverages the in-order traversal property. The optimized single-pass approach is more space-efficient while maintaining the same time complexity.
