✅Day 59 | LeetCode 513. Find Bottom Left Tree Value

🌟 Welcome to the Quest for the Bottom Left Value in a Binary Tree! 🚀

Join us on an exhilarating journey through the depths of a binary tree as we seek to uncover the value residing at the bottom-leftmost node. Traverse the intricate branches and nodes, and embark on an adventure filled with exploration and discovery.

🎯 Problem Overview:

In this thrilling challenge, we are presented with a binary tree rooted at the top. Our quest is to find and retrieve the value stored in the bottom-leftmost node of the tree. We aim to develop an efficient algorithm that traverses the tree, uncovering the value as we delve deeper into its structure.

🚀 Algorithm Breakdown:

We initialize a queue q to facilitate level-order traversal of the binary tree. We start by pushing the root node into the queue.
We maintain a variable leftmost_value to track the value of the leftmost node encountered during traversal.
While the queue is not empty:
Dequeue a node from the front of the queue.
Update the leftmost_value with the value of the dequeued node.
Enqueue the right child of the dequeued node, if it exists.
Enqueue the left child of the dequeued node, if it exists.
Once the traversal completes, the leftmost_value variable holds the value of the bottom-leftmost node.
We return the leftmost_value as the result.
📊 Complexity Analysis:

Time Complexity: O(N), where N is the number of nodes in the binary tree. The algorithm traverses each node once during the level-order traversal.
Space Complexity: O(W), where W is the maximum width of the binary tree (the number of nodes in the widest level). In the worst case, the queue can hold all nodes at the widest level.
Prepare to embark on an enthralling journey through the labyrinth of a binary tree as we unravel the secrets of the bottom-leftmost value! Explore the depths of level-order traversal and embrace the thrill of algorithmic discovery. 🔗✨

Tags: #binarytreequest #bottomleftvalue #treedepths #codingchallenge #programminglogic #algorithmexplained #levelordertraversal #treeexploration