hello-algo/en/codes/csharp/chapter_divide_and_conquer/build_tree.cs

50 lines
1.7 KiB
C#

/**
* File: build_tree.cs
* Created Time: 2023-07-18
* Author: hpstory (hpstory1024@163.com)
*/
namespace hello_algo.chapter_divide_and_conquer;
public class build_tree {
/* Build binary tree: Divide and conquer */
TreeNode? DFS(int[] preorder, Dictionary<int, int> inorderMap, int i, int l, int r) {
// Terminate when subtree interval is empty
if (r - l < 0)
return null;
// Initialize root node
TreeNode root = new(preorder[i]);
// Query m to divide left and right subtrees
int m = inorderMap[preorder[i]];
// Subproblem: build left subtree
root.left = DFS(preorder, inorderMap, i + 1, l, m - 1);
// Subproblem: build right subtree
root.right = DFS(preorder, inorderMap, i + 1 + m - l, m + 1, r);
// Return root node
return root;
}
/* Build binary tree */
TreeNode? BuildTree(int[] preorder, int[] inorder) {
// Initialize hash table, storing in-order elements to indices mapping
Dictionary<int, int> inorderMap = [];
for (int i = 0; i < inorder.Length; i++) {
inorderMap.TryAdd(inorder[i], i);
}
TreeNode? root = DFS(preorder, inorderMap, 0, 0, inorder.Length - 1);
return root;
}
[Test]
public void Test() {
int[] preorder = [3, 9, 2, 1, 7];
int[] inorder = [9, 3, 1, 2, 7];
Console.WriteLine("Pre-order traversal = " + string.Join(", ", preorder));
Console.WriteLine("In-order traversal = " + string.Join(", ", inorder));
TreeNode? root = BuildTree(preorder, inorder);
Console.WriteLine("The built binary tree is:");
PrintUtil.PrintTree(root);
}
}