Given a binary tree, the task is to find the Lowest Common Ancestor of the given two nodes in the tree.
Let G be a tree then LCA of two nodes u and v is defined as the node w in the tree which is an ancestor of both u and v and is farthest from the root node.If one node is the ancestor of another one than that particular node is the LCA of those two nodes.
The LCA of 6 and 9 is 1.
The LCA of 5 and 9 is 1.
The LCA of 6 and 8 is 3.
The LCA of 6 and 1 is 1.
Approach: The article describes an approach known as Binary Lifting to find the Lowest Common Ancestor of two nodes in a tree. There can be many approaches to solve the LCA problem. We are discussing the Binary Lifting Technique, the others can be read from here and here.
Binary Lifting is a dynamic programming approach where we pre-compute an array memo[1, n][1, log(n)] where memo[i][j] contains 2^j-th ancestor of node i. For computing the values of memo, the following recursion may be used
memo[i][j] = parent[i] if j = 0 and
memo[i][j] = memo[memo[i][j – 1]][j – 1] if j > 0.
We first check whether a node is an ancestor of other or not and if one node is ancestor of other then it is the LCA of these two nodes otherwise we find a node which is not the common ancestor of both u and v and is highest(i.e. a node x such that x is not the common ancestor of u and v but memo[x] is) in the tree. After finding such a node (let it be x), we print the first ancestor of x i.e. memo[x] which will be the required LCA.
Below is the implementation of the above approach:
The LCA of 6 and 9 is 1 The LCA of 5 and 9 is 1 The LCA of 6 and 8 is 3 The LCA of 6 and 1 is 1
Time Complexity: The time taken in pre-processing is O(NlogN) and every query takes O(logN) time. So the overall time complexity of the solution is O(NlogN).
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- Check if a binary tree is subtree of another binary tree | Set 2
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- Check if a binary tree is subtree of another binary tree | Set 1
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- Binary Tree to Binary Search Tree Conversion
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