What is Zigzag Level Order Traversal in a binary tree?
It is a way to visit nodes level by level, but alternating the direction of traversal at each level. For example, left to right on one level, then right to left on the next.
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intermediate
Why do we use two stacks or a deque in Zigzag Level Order Traversal?
To keep track of nodes in the current level and the next level while controlling the order of traversal direction (left to right or right to left).
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intermediate
In Zigzag Level Order Traversal, what determines the order of adding child nodes to the next level?
The current traversal direction. If going left to right, add left child first then right child. If right to left, add right child first then left child.
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beginner
What is the time complexity of Zigzag Level Order Traversal?
O(n), where n is the number of nodes in the tree, because each node is visited exactly once.
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beginner
Show the output of Zigzag Level Order Traversal for this tree: 1 / \ 2 3 / \ \ 4 5 6
The output is [[1], [3, 2], [4, 5, 6]]. Level 1: left to right → [1] Level 2: right to left → [3, 2] Level 3: left to right → [4, 5, 6]
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What data structure is commonly used to implement Zigzag Level Order Traversal?
AQueue or deque
BStack or deque
CHash map
DLinked list
✗ Incorrect
Stacks or deques help alternate the order of traversal by controlling the order of node processing.
In Zigzag traversal, if the current level is traversed left to right, how are child nodes added for the next level?
ARight child first, then left child
BOnly left child
COnly right child
DLeft child first, then right child
✗ Incorrect
When traversing left to right, add left child first to maintain correct order for next level.
What is the output of Zigzag Level Order Traversal for a tree with only one node?
A[]
B[[]]
C[[node_value]]
D[node_value]
✗ Incorrect
The output is a list containing one list with the single node's value.
What is the main difference between normal level order traversal and zigzag level order traversal?
AZigzag alternates direction each level, normal always left to right
BZigzag uses recursion, normal uses iteration
CZigzag only visits leaf nodes
DNormal traversal uses stacks, zigzag uses queues
✗ Incorrect
Zigzag traversal changes direction at each level, normal traversal always goes left to right.
What is the space complexity of Zigzag Level Order Traversal?
AO(n)
BO(log n)
CO(1)
DO(n^2)
✗ Incorrect
Space complexity is O(n) because we store nodes of each level in data structures.
Explain how Zigzag Level Order Traversal works step-by-step on a binary tree.
Think about how you would walk through the tree visiting nodes in a zigzag pattern.
You got /4 concepts.
Describe the data structures and logic needed to implement Zigzag Level Order Traversal efficiently.
Focus on how to keep track of nodes and direction for each level.
You got /4 concepts.
Practice
(1/5)
1. What does the Zigzag Level Order Traversal of a binary tree do differently compared to a normal level order traversal?
easy
A. It alternates the direction of traversal at each level, switching between left-to-right and right-to-left.
B. It only traverses the left subtree of the tree.
C. It visits nodes in a random order at each level.
D. It traverses nodes only in right-to-left order for all levels.
Solution
Step 1: Understand normal level order traversal
Normal level order traversal visits nodes level by level from left to right.
Step 2: Identify zigzag difference
Zigzag traversal changes direction every level: first left-to-right, then right-to-left, and so on.
Final Answer:
It alternates the direction of traversal at each level, switching between left-to-right and right-to-left. -> Option A
Quick Check:
Zigzag = alternate directions [OK]
Hint: Remember zigzag means direction flips each level [OK]
Common Mistakes:
Thinking traversal is always left-to-right
Confusing zigzag with random order
Ignoring direction change at each level
2. Which of the following Go code snippets correctly initializes a queue for level order traversal in Zigzag Level Order Traversal?
easy
A. queue := make([]int, 0)
B. queue := []int{root}
C. queue := map[int]*TreeNode{}
D. queue := []*TreeNode{root}
Solution
Step 1: Identify the queue type needed
Queue should hold pointers to TreeNode structs, so []*TreeNode is correct.
Step 2: Check each option's correctness
queue := []*TreeNode{root} uses []*TreeNode with root node, correct for traversal. Options A and B use int slices, wrong type. queue := map[int]*TreeNode{} uses map, not queue.