Saturday, July 18, 2015

235 - Lowest Common Ancestor of a Binary Search Tree

Lowest Common Ancestor of a Binary Search Tree


Given a binary search tree (BST), find the lowest common ancestor (LCA) of two given nodes in the BST.
According to the definition of LCA on Wikipedia: “The lowest common ancestor is defined between two nodes v and w as the lowest node in T that has both v and w as descendants (where we allow a node to be a descendant of itself).”
        _______6______
       /              \
    ___2__          ___8__
   /      \        /      \
   0      _4       7       9
         /  \
         3   5
For example, the lowest common ancestor (LCA) of nodes 2 and 8 is 6. Another example is LCA of nodes 2 and 4 is 2, since a node can be a descendant of itself according to the LCA definition.
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用了两个解法,

一个是基于BST,
判断root的value是否大于最小值或者小于最大值以剪枝

/**
 * Definition for a binary tree node.
 * struct TreeNode {
 *     int val;
 *     TreeNode *left;
 *     TreeNode *right;
 *     TreeNode(int x) : val(x), left(NULL), right(NULL) {}
 * };
 */

class Solution {
public:
    TreeNode* lowestCommonAncestor(TreeNode* root, TreeNode* p, TreeNode* q) {
        int max = ((p->val)>(q->val))?(p->val):(q->val);
        int min = ((p->val)<(q->val))?(p->val):(q->val);
        
        return dfs(root, min, max);
    }
    
    TreeNode* dfs(TreeNode* root, int min, int max) {
        if(max<(root->val))
            return dfs(root->left, min, max);

        if(min>(root->val))
            return dfs(root->right, min, max);
            
        return root;
    }
};

另一个是无视BST,直接查找指定的p,q,

class Solution {
public:
    TreeNode* lowestCommonAncestor(TreeNode* root, TreeNode* p, TreeNode* q) {
        if((root==p)||(root==q)||(NULL==root))
            return root;
        
        TreeNode* ll = lowestCommonAncestor(root->left, p, q);
        TreeNode* rr = lowestCommonAncestor(root->right, p, q);
        
        if(ll&&rr)
            return root;
        
        return ll?ll:rr;
    }
};

测试的结果是,两个方法的耗时都是40ms,直觉上第一种应该更快一点啊。


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