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算法|二叉搜索树的最近公共祖先、二叉搜索树的最近公共祖先、删除二

算法|二叉搜索树的最近公共祖先、二叉搜索树的最近公共祖先、删除二

作者: 激扬飞雪 | 来源:发表于2022-12-06 15:10 被阅读0次

    一、 235. 二叉搜索树的最近公共祖先

    题目连接:https://leetcode.cn/problems/lowest-common-ancestor-of-a-binary-search-tree/
    思路:二叉搜索树最近的公共祖先的是第一次遇到root.val > p && root.val < q 或者 root.val< p && root.val > p区间
    1、递归法

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

    2、迭代法

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

    二、 701. 二叉搜索树中的插入操作

    题目连接:https://leetcode.cn/problems/insert-into-a-binary-search-tree/
    思路一:递归法

    /**
     * Definition for a binary tree node.
     * public class TreeNode {
     *     int val;
     *     TreeNode left;
     *     TreeNode right;
     *     TreeNode() {}
     *     TreeNode(int val) { this.val = val; }
     *     TreeNode(int val, TreeNode left, TreeNode right) {
     *         this.val = val;
     *         this.left = left;
     *         this.right = right;
     *     }
     * }
     */
    class Solution {
        public TreeNode insertIntoBST(TreeNode root, int val) {
            if (root == null) return new TreeNode(val);
            if (root.val > val) {
                root.left = insertIntoBST(root.left, val);
            } else {
                root.right = insertIntoBST(root.right, val);
            }
            return root;
        }
    }
    

    思路二:迭代法

    /**
     * Definition for a binary tree node.
     * public class TreeNode {
     *     int val;
     *     TreeNode left;
     *     TreeNode right;
     *     TreeNode() {}
     *     TreeNode(int val) { this.val = val; }
     *     TreeNode(int val, TreeNode left, TreeNode right) {
     *         this.val = val;
     *         this.left = left;
     *         this.right = right;
     *     }
     * }
     */
    class Solution {
        public TreeNode insertIntoBST(TreeNode root, int val) {
            TreeNode cur = root;
            while (cur != null) {
                if (cur.val > val) {
                    if (cur.left == null) {
                        cur.left = new TreeNode(val);
                        return root;
                    } else {
                        cur = cur.left;
                    }
                } else {
                    if (cur.right == null) {
                        cur.right = new TreeNode(val);
                        return root;
                    } else {
                        cur = cur.right;
                    }
                }
            }
            return new TreeNode(val);
        }
    }
    

    思路三:迭代法,记录前一个节点

    /**
     * Definition for a binary tree node.
     * public class TreeNode {
     *     int val;
     *     TreeNode left;
     *     TreeNode right;
     *     TreeNode() {}
     *     TreeNode(int val) { this.val = val; }
     *     TreeNode(int val, TreeNode left, TreeNode right) {
     *         this.val = val;
     *         this.left = left;
     *         this.right = right;
     *     }
     * }
     */
    class Solution {
        public TreeNode insertIntoBST(TreeNode root, int val) {
            if (root == null) return new TreeNode(val);
            TreeNode cur = root;
            TreeNode pre = root;
            while (cur != null) {
                pre = cur;
                if (cur.val > val) {
                    cur = cur.left;
                } else {
                    cur = cur.right;
                }
            }
            if (pre.val > val) {
                pre.left = new TreeNode(val);
            } else {
                pre.right = new TreeNode(val);
            }
            return root;
        }
    }
    

    三、 450. 删除二叉搜索树中的节点

    题目连接:https://leetcode.cn/problems/delete-node-in-a-bst/
    思路:当root.val == key 时候,寻找root.right 是否为空,为空则返回root.left,不为空寻找root.right最小的节点,即TreeNode leftNode = root.right;
    while (leftNode.left != null) {
    leftNode = leftNode.left;
    }
    leftNode.left = root.left;
    return root.right;

    /**
     * Definition for a binary tree node.
     * public class TreeNode {
     *     int val;
     *     TreeNode left;
     *     TreeNode right;
     *     TreeNode() {}
     *     TreeNode(int val) { this.val = val; }
     *     TreeNode(int val, TreeNode left, TreeNode right) {
     *         this.val = val;
     *         this.left = left;
     *         this.right = right;
     *     }
     * }
     */
    class Solution {
        public TreeNode deleteNode(TreeNode root, int key) {
            if (root == null) return null;
            if (root.val > key) {
                root.left = deleteNode(root.left, key);
            } else if (root.val < key) {
                root.right = deleteNode(root.right, key);
            } else {
                TreeNode rightNode = root.right;
                if (rightNode == null) return root.left;
                TreeNode leftNode = root.right;
                while (leftNode.left != null) {
                    leftNode = leftNode.left;
                }
                leftNode.left = root.left;
                return rightNode;
            }
            return root;
        }
    }
    

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