235. Lowest Common Ancestor of a Binary Search Tree
发布日期:2021-06-24 18:20:39 浏览次数:2 分类:技术文章

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题目:

Given a binary search tree (BST), find the lowest common ancestor (LCA) of two given nodes in the BST.

According to the : “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.

链接:  

题解:

BST求公共祖先。我们把两个节点的值和root进行对比,然后用二分查找的思想进行递归。

Time Complexity - O(logn), Space Complexity - O(n)

/** * Definition for a binary tree node. * public class TreeNode { *     int val; *     TreeNode left; *     TreeNode right; *     TreeNode(int x) { val = x; } * } */public class Solution {    public TreeNode lowestCommonAncestor(TreeNode root, TreeNode p, TreeNode q) {        if(root == null || p == null || q == null)            return root;        if(p.val > root.val && q.val > root.val)            return lowestCommonAncestor(root.right, p, q);        else if(p.val < root.val && q.val < root.val)            return lowestCommonAncestor(root.left, p, q);        else            return root;    }}

 

二刷:

因为题目给定允许一个节点作为自己的descendant,所以我们只要在root代表的树里同时对p和q进行递归的binary search就可以了。也可以使用迭代。

Java:

Time Complexity - O(logn), Space Complexity - O(n)

/** * Definition for a binary tree node. * public class TreeNode { *     int val; *     TreeNode left; *     TreeNode right; *     TreeNode(int x) { val = x; } * } */public class Solution {    public TreeNode lowestCommonAncestor(TreeNode root, TreeNode p, TreeNode q) {        if (root == null || p == null || q == null) {            return root;        }        if (p.val < root.val && q.val < root.val) {            return lowestCommonAncestor(root.left, p, q);        } else if (p.val > root.val && q.val > root.val) {            return lowestCommonAncestor(root.right, p, q);        } else {            return root;        }    }}

 

使用迭代

Time Complexity - O(logn), Space Complexity - O(1)

/** * Definition for a binary tree node. * public class TreeNode { *     int val; *     TreeNode left; *     TreeNode right; *     TreeNode(int x) { val = x; } * } */public class Solution {    public TreeNode lowestCommonAncestor(TreeNode root, TreeNode p, TreeNode q) {        if (root == null || p == null || q == null) {            return root;        }        TreeNode node = root;        while (node != null) {            if (p.val < node.val && q.val < node.val) {                node = node.left;             } else if (p.val > node.val && q.val > node.val) {                node = node.right;            } else {                break;            }        }        return node;    }}

 

三刷:

这里假定 a node can be ancestor of itself,一个节点可以作为它自己的ancestor。我们首先判断边界条件,p = null和q = null时的情况。接下来建立一个node节点 = root。在node 非空的情况下,同时比较node.val和p.val, q.val来决定继续向左子树搜索还是向右子树搜索。假如两个节点分散在node的两边,或者有一个的值等于node,这时node就是lowest common ancestor。

Java:

Time Complexity - O(logn), Space Complexity - O(1)

/** * Definition for a binary tree node. * public class TreeNode { *     int val; *     TreeNode left; *     TreeNode right; *     TreeNode(int x) { val = x; } * } */public class Solution {    public TreeNode lowestCommonAncestor(TreeNode root, TreeNode p, TreeNode q) {        if (p == null) {            return q;        }        if (q == null) {            return q;        }                TreeNode node = root;        while (node != null) {            if (node.val > p.val && node.val > q.val) {                node = node.left;            } else if (node.val < p.val && node.val < q.val) {                node = node.right;            } else {                return node;            }        }        return root;    }}

 

Update:

/** * Definition for a binary tree node. * public class TreeNode { *     int val; *     TreeNode left; *     TreeNode right; *     TreeNode(int x) { val = x; } * } */public class Solution {    public TreeNode lowestCommonAncestor(TreeNode root, TreeNode p, TreeNode q) {        if (root == null) return null;        TreeNode node = root;        while (node != null) {            if (node.val < p.val && node.val < q.val) node = node.right;            else if (node.val > p.val && node.val > q.val) node = node.left;            else return node;        }        return node;    }}

 

 

 

Reference:

http://blog.csdn.net/luckyxiaoqiang/article/details/7518888

http://zhedahht.blog.163.com/blog/static/25411174201081263815813/

https://github.com/julycoding/The-Art-Of-Programming-By-July/blob/master/ebook/zh/03.03.md

http://baozitraining.org/blog/binary-tree-common-anncestor/

http://www.cnblogs.com/felixfang/p/3828915.html

http://www.gocalf.com/blog/least-common-ancestor.html

http://baozitraining.org/blog/ten-rules-for-oop-design/

https://developers.google.com/youtube/v3/code_samples/java

http://www.jiuzhang.com/solutions/lowest-common-ancestor/

https://leetcode.com/discuss/44959/3-lines-with-o-1-space-1-liners-alternatives

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