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| 1 | +package tree; |
| 2 | + |
| 3 | +import java.util.*; |
| 4 | + |
| 5 | +/** |
| 6 | + * Created by gouthamvidyapradhan on 02/05/2018. |
| 7 | + * Given a binary tree where every node has a unique value, and a target key k, find the value of the nearest leaf node to target k in the tree. |
| 8 | +
|
| 9 | + Here, nearest to a leaf means the least number of edges travelled on the binary tree to reach any leaf of the tree. Also, a node is called a leaf if it has no children. |
| 10 | +
|
| 11 | + In the following examples, the input tree is represented in flattened form row by row. The actual root tree given will be a TreeNode object. |
| 12 | +
|
| 13 | + Example 1: |
| 14 | +
|
| 15 | + Input: |
| 16 | + root = [1, 3, 2], k = 1 |
| 17 | + Diagram of binary tree: |
| 18 | + 1 |
| 19 | + / \ |
| 20 | + 3 2 |
| 21 | +
|
| 22 | + Output: 2 (or 3) |
| 23 | +
|
| 24 | + Explanation: Either 2 or 3 is the nearest leaf node to the target of 1. |
| 25 | + Example 2: |
| 26 | +
|
| 27 | + Input: |
| 28 | + root = [1], k = 1 |
| 29 | + Output: 1 |
| 30 | +
|
| 31 | + Explanation: The nearest leaf node is the root node itself. |
| 32 | + Example 3: |
| 33 | +
|
| 34 | + Input: |
| 35 | + root = [1,2,3,4,null,null,null,5,null,6], k = 2 |
| 36 | + Diagram of binary tree: |
| 37 | + 1 |
| 38 | + / \ |
| 39 | + 2 3 |
| 40 | + / |
| 41 | + 4 |
| 42 | + / |
| 43 | + 5 |
| 44 | + / |
| 45 | + 6 |
| 46 | +
|
| 47 | + Output: 3 |
| 48 | + Explanation: The leaf node with value 3 (and not the leaf node with value 6) is nearest to the node with value 2. |
| 49 | + Note: |
| 50 | + root represents a binary tree with at least 1 node and at most 1000 nodes. |
| 51 | + Every node has a unique node.val in range [1, 1000]. |
| 52 | + There exists some node in the given binary tree for which node.val == k. |
| 53 | +
|
| 54 | + Solution: O(N): Maintain a hashmap of distances from each node in the first iteration. In the second iteration, |
| 55 | + find the key value node and then calculate distance from each node during backtrack. |
| 56 | + */ |
| 57 | +public class ClosestLeafInABinaryTree { |
| 58 | + |
| 59 | + public static class TreeNode { |
| 60 | + int val; |
| 61 | + TreeNode left; |
| 62 | + TreeNode right; |
| 63 | + TreeNode(int x) { val = x; } |
| 64 | + } |
| 65 | + |
| 66 | + private static class Pair{ |
| 67 | + int n, d; |
| 68 | + Pair(int n, int d){ |
| 69 | + this.n = n; |
| 70 | + this.d = d; |
| 71 | + } |
| 72 | + } |
| 73 | + |
| 74 | + private Map<Integer, Pair> map; |
| 75 | + private Pair minNode; |
| 76 | + /** |
| 77 | + * Main method |
| 78 | + * @param args |
| 79 | + * @throws Exception |
| 80 | + */ |
| 81 | + public static void main(String[] args) throws Exception{ |
| 82 | + TreeNode root = new TreeNode(1); |
| 83 | + root.left = new TreeNode(2); |
| 84 | + root.right = new TreeNode(3); |
| 85 | + root.left.left = new TreeNode(4); |
| 86 | + root.left.left.left = new TreeNode(5); |
| 87 | + root.left.left.left.left = new TreeNode(6); |
| 88 | + //root.right = new TreeNode(3); |
| 89 | + System.out.println(new ClosestLeafInABinaryTree().findClosestLeaf(root, 2)); |
| 90 | + } |
| 91 | + |
| 92 | + public int findClosestLeaf(TreeNode root, int k) { |
| 93 | + map = new HashMap<>(); |
| 94 | + minNode = new Pair(-1, Integer.MAX_VALUE); |
| 95 | + findDistanceToLeaf(root); |
| 96 | + findMin(root, k); |
| 97 | + return minNode.n; |
| 98 | + } |
| 99 | + |
| 100 | + private Pair findDistanceToLeaf(TreeNode node){ |
| 101 | + if(node != null){ |
| 102 | + if(node.left == null && node.right == null){ |
| 103 | + map.put(node.val, new Pair(node.val, 0)); |
| 104 | + return new Pair(node.val, 1); |
| 105 | + } else { |
| 106 | + Pair left = findDistanceToLeaf(node.left); |
| 107 | + Pair right = findDistanceToLeaf(node.right); |
| 108 | + if(left.d < right.d){ |
| 109 | + map.put(node.val, left); |
| 110 | + return new Pair(left.n, left.d + 1); |
| 111 | + } else{ |
| 112 | + map.put(node.val, right); |
| 113 | + return new Pair(right.n, right.d + 1); |
| 114 | + } |
| 115 | + } |
| 116 | + } return new Pair(-1, Integer.MAX_VALUE); |
| 117 | + } |
| 118 | + |
| 119 | + private int findMin(TreeNode node, int k){ |
| 120 | + if(node != null){ |
| 121 | + if(node.val == k){ |
| 122 | + if(map.get(node.val).d < minNode.d){ |
| 123 | + minNode = map.get(node.val); |
| 124 | + } |
| 125 | + return 1; |
| 126 | + } else{ |
| 127 | + int left = findMin(node.left, k); |
| 128 | + int right = findMin(node.right, k); |
| 129 | + if(left != -1){ |
| 130 | + if((left + map.get(node.val).d) < minNode.d){ |
| 131 | + minNode = new Pair(map.get(node.val).n, (left + map.get(node.val).d)); |
| 132 | + } |
| 133 | + return left + 1; |
| 134 | + } |
| 135 | + else if(right != -1){ |
| 136 | + if((right + map.get(node.val).d) < minNode.d){ |
| 137 | + minNode = new Pair(map.get(node.val).n, (right + map.get(node.val).d)); |
| 138 | + } |
| 139 | + return right + 1; |
| 140 | + } |
| 141 | + } |
| 142 | + } |
| 143 | + return -1; |
| 144 | + } |
| 145 | +} |
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