From 8488f466082f3f80508607612fdcde769250c896 Mon Sep 17 00:00:00 2001
From: Ayushmaanagarwal1121 <agarwalayushmaan88@gmail.com>
Date: Fri, 7 Jun 2024 14:17:49 +0530
Subject: [PATCH 1/2] Create 0103-zigzag-order-traversal.md

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 1 file changed, 133 insertions(+)
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diff --git a/dsa-solutions/lc-solutions/0100-0199/0103-zigzag-order-traversal.md b/dsa-solutions/lc-solutions/0100-0199/0103-zigzag-order-traversal.md
new file mode 100644
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@@ -0,0 +1,133 @@
+---
+id: binary-tree-zigzag-level-order-traversal
+title: Binary Tree Zigzag Level Order Traversal 
+sidebar_label: 0103-Zigzag Level Order 
+tags:
+  - Tree
+  - Breadth-First-Search
+  - C++
+description: "Given a binary tree, return the zigzag level order traversal of its nodes' values. (i.e., from left to right, then right to left for the next level and alternate between)."
+---
+
+## Problem Description
+
+Given a binary tree, return the zigzag level order traversal of its nodes' values. (i.e., from left to right, then right to left for the next level and alternate between).
+
+
+### Examples
+
+**Example 1:**
+
+![LeetCode Problem - Binary Tree](https://assets.leetcode.com/uploads/2021/02/19/tree1.jpg)
+```
+Input: root = [3,9,20,null,null,15,7]
+Output: [[3],[20,9],[15,7]]
+```
+
+
+### Constraints
+
+- `The number of nodes in the tree is in the range $[0, 2000]$.`
+- `$-100 \leq \text{Node.val} \leq 100$`
+
+---
+
+## Solution for Binary Tree Problem
+
+### Intuition And Approach
+
+To perform a zigzag level order traversal, we can use a breadth-first search (BFS) with a queue. We'll use a boolean flag to determine the direction of traversal at each level. 
+
+1. **Breadth-First Search (BFS):** Traverse the tree level by level.
+2. **Direction Toggle:** Use a flag to toggle the direction of traversal for each level (left-to-right or right-to-left).
+
+<Tabs>
+ <tabItem value="Iterative Simulation" label="Iterative Simulation">
+
+
+#### Code in Different Languages
+
+<Tabs>
+  <TabItem value="Java" label="Java" default>
+  <SolutionAuthor name="@Vipullakum007"/>
+   ```java
+   class Solution {
+    public int minDepth(TreeNode root) {
+        if (root == null) return 0;
+        Queue<TreeNode> queue = new LinkedList<>();
+        queue.offer(root);
+        int depth = 1;
+        while (!queue.isEmpty()) {
+            int levelSize = queue.size();
+            for (int i = 0; i < levelSize; i++) {
+                TreeNode node = queue.poll();
+                if (node.left == null && node.right == null) return depth;
+                if (node.left != null) queue.offer(node.left);
+                if (node.right != null) queue.offer(node.right);
+            }
+            depth++;
+        }
+        return depth;
+    }
+}
+    ```
+
+  </TabItem>
+  <TabItem value="Python" label="Python">
+  <SolutionAuthor name="@Vipullakum007"/>
+   ```python
+    class Solution:
+    def minDepth(self, root):
+        if not root:
+            return 0
+        queue = collections.deque([(root, 1)])
+        while queue:
+            node, depth = queue.popleft()
+            if not node.left and not node.right:
+                return depth
+            if node.left:
+                queue.append((node.left, depth + 1))
+            if node.right:
+                queue.append((node.right, depth + 1))
+    ```
+
+  </TabItem>
+  <TabItem value="C++" label="C++">
+  <SolutionAuthor name="@Vipullakum007"/>
+   ```cpp
+    class Solution {
+public:
+    int minDepth(TreeNode* root) {
+        if (!root) return 0;
+        queue<TreeNode*> q;
+        q.push(root);
+        int depth = 1;
+        while (!q.empty()) {
+            int levelSize = q.size();
+            for (int i = 0; i < levelSize; ++i) {
+                TreeNode* node = q.front();
+                q.pop();
+                if (!node->left && !node->right) return depth; // Leaf node found
+                if (node->left) q.push(node->left);
+                if (node->right) q.push(node->right);
+            }
+            ++depth;
+        }
+        return depth;
+    }
+};
+    ```
+
+  </TabItem>
+</Tabs>
+
+#### Complexity Analysis
+
+- Time Complexity: O(n) where n is the number of nodes in the binary tree.
+- Space Complexity: O(h) where h is the height of the binary tree.
+
+</tabItem>
+</Tabs>
+
+
+---
\ No newline at end of file

From 427f075a4ebcec934248c2c5df1356f2aba2d96b Mon Sep 17 00:00:00 2001
From: Ayushmaanagarwal1121 <agarwalayushmaan88@gmail.com>
Date: Fri, 7 Jun 2024 19:50:04 +0530
Subject: [PATCH 2/2] Update 0103-zigzag-order-traversal.md

---
 .../lc-solutions/0100-0199/0103-zigzag-order-traversal.md | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/dsa-solutions/lc-solutions/0100-0199/0103-zigzag-order-traversal.md b/dsa-solutions/lc-solutions/0100-0199/0103-zigzag-order-traversal.md
index 346e7911d..4a0eff5a0 100644
--- a/dsa-solutions/lc-solutions/0100-0199/0103-zigzag-order-traversal.md
+++ b/dsa-solutions/lc-solutions/0100-0199/0103-zigzag-order-traversal.md
@@ -27,8 +27,8 @@ Output: [[3],[20,9],[15,7]]
 
 ### Constraints
 
-- `The number of nodes in the tree is in the range $[0, 2000]$.`
-- `$-100 \leq \text{Node.val} \leq 100$`
+- The number of nodes in the tree is in the range $[0, 2000]$.
+- $-100 \leq \text{Node.val} \leq 100$
 
 ---
 
@@ -123,8 +123,8 @@ public:
 
 #### Complexity Analysis
 
-- Time Complexity: O(n) where n is the number of nodes in the binary tree.
-- Space Complexity: O(h) where h is the height of the binary tree.
+- Time Complexity: $O(n)$ where n is the number of nodes in the binary tree.
+- Space Complexity: $O(h)$ where h is the height of the binary tree.
 
 </tabItem>
 </Tabs>