mirror of
https://github.com/krahets/hello-algo.git
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56b20eff36
* .net 8.0 migration * update docs * revert change * revert change and update appendix docs * remove static * Update binary_search_insertion.cs * Update binary_search_insertion.cs * Update binary_search_edge.cs * Update binary_search_insertion.cs * Update binary_search_edge.cs --------- Co-authored-by: Yudong Jin <krahets@163.com>
160 lines
4.7 KiB
C#
160 lines
4.7 KiB
C#
/**
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* File: binary_search_tree.cs
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* Created Time: 2022-12-23
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* Author: haptear (haptear@hotmail.com)
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*/
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namespace hello_algo.chapter_tree;
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class BinarySearchTree {
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TreeNode? root;
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public BinarySearchTree() {
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// 初始化空树
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root = null;
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}
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/* 获取二叉树根节点 */
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public TreeNode? GetRoot() {
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return root;
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}
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/* 查找节点 */
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public TreeNode? Search(int num) {
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TreeNode? cur = root;
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// 循环查找,越过叶节点后跳出
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while (cur != null) {
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// 目标节点在 cur 的右子树中
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if (cur.val < num) cur =
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cur.right;
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// 目标节点在 cur 的左子树中
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else if (cur.val > num)
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cur = cur.left;
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// 找到目标节点,跳出循环
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else
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break;
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}
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// 返回目标节点
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return cur;
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}
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/* 插入节点 */
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public void Insert(int num) {
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// 若树为空,则初始化根节点
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if (root == null) {
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root = new TreeNode(num);
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return;
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}
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TreeNode? cur = root, pre = null;
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// 循环查找,越过叶节点后跳出
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while (cur != null) {
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// 找到重复节点,直接返回
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if (cur.val == num)
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return;
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pre = cur;
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// 插入位置在 cur 的右子树中
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if (cur.val < num)
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cur = cur.right;
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// 插入位置在 cur 的左子树中
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else
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cur = cur.left;
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}
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// 插入节点
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TreeNode node = new(num);
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if (pre != null) {
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if (pre.val < num)
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pre.right = node;
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else
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pre.left = node;
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}
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}
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/* 删除节点 */
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public void Remove(int num) {
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// 若树为空,直接提前返回
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if (root == null)
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return;
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TreeNode? cur = root, pre = null;
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// 循环查找,越过叶节点后跳出
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while (cur != null) {
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// 找到待删除节点,跳出循环
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if (cur.val == num)
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break;
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pre = cur;
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// 待删除节点在 cur 的右子树中
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if (cur.val < num)
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cur = cur.right;
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// 待删除节点在 cur 的左子树中
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else
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cur = cur.left;
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}
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// 若无待删除节点,则直接返回
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if (cur == null)
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return;
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// 子节点数量 = 0 or 1
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if (cur.left == null || cur.right == null) {
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// 当子节点数量 = 0 / 1 时, child = null / 该子节点
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TreeNode? child = cur.left ?? cur.right;
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// 删除节点 cur
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if (cur != root) {
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if (pre!.left == cur)
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pre.left = child;
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else
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pre.right = child;
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} else {
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// 若删除节点为根节点,则重新指定根节点
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root = child;
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}
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}
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// 子节点数量 = 2
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else {
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// 获取中序遍历中 cur 的下一个节点
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TreeNode? tmp = cur.right;
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while (tmp.left != null) {
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tmp = tmp.left;
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}
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// 递归删除节点 tmp
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Remove(tmp.val!.Value);
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// 用 tmp 覆盖 cur
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cur.val = tmp.val;
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}
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}
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}
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public class binary_search_tree {
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[Test]
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public void Test() {
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/* 初始化二叉搜索树 */
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BinarySearchTree bst = new();
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// 请注意,不同的插入顺序会生成不同的二叉树,该序列可以生成一个完美二叉树
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int[] nums = [8, 4, 12, 2, 6, 10, 14, 1, 3, 5, 7, 9, 11, 13, 15];
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foreach (int num in nums) {
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bst.Insert(num);
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}
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Console.WriteLine("\n初始化的二叉树为\n");
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PrintUtil.PrintTree(bst.GetRoot());
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/* 查找节点 */
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TreeNode? node = bst.Search(7);
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Console.WriteLine("\n查找到的节点对象为 " + node + ",节点值 = " + node?.val);
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/* 插入节点 */
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bst.Insert(16);
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Console.WriteLine("\n插入节点 16 后,二叉树为\n");
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PrintUtil.PrintTree(bst.GetRoot());
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/* 删除节点 */
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bst.Remove(1);
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Console.WriteLine("\n删除节点 1 后,二叉树为\n");
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PrintUtil.PrintTree(bst.GetRoot());
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bst.Remove(2);
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Console.WriteLine("\n删除节点 2 后,二叉树为\n");
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PrintUtil.PrintTree(bst.GetRoot());
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bst.Remove(4);
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Console.WriteLine("\n删除节点 4 后,二叉树为\n");
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PrintUtil.PrintTree(bst.GetRoot());
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}
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}
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