CSE334_CA5

What is depth-first search in a binary tree?

• Traversal algorithm that explores as far as possible along each branch before backtracking

• Algorithm that starts from the leaf nodes and moves towards the root

• Traversal algorithm that explores all nodes at the same level before moving to the next level

• Algorithm that only explores the root node

Explain the concept of a binary tree.

• A binary tree is a data structure that can have an unlimited number of children for each node.

• A binary tree is a data structure in which each node has at most two children, referred to as the left child and the right child.

• A binary tree is a data structure with three children: left, right, and center.

• A binary tree is a data structure that only allows for one child per node.

What are the traversal algorithms used in tree traversal?

• Left-order, right-order, and root-order

• First-order, second-order, and third-order

• Up-order, down-order, and across-order

• In-order, pre-order, and post-order

How does the recursive approach work in tree traversal?

• By calling the traversal function on the right subtree, then on the left subtree, and finally processing the current node

• By calling the traversal function on the left subtree, then on the right subtree, and finally processing the current node.

• By processing the current node first, then calling the traversal function on the left subtree, and finally on the right subtree

• By randomly selecting nodes to process without following any specific order

What is the iterative approach in tree traversal?

• Sending a drone to traverse the tree

• Using a stack or queue to traverse the tree without using recursion

• Using a GPS to traverse the tree

• Hiring a tour guide to traverse the tree

Explain the inorder tree traversal algorithm.

• Visit root node, visit left subtree, visit right subtree

• Visit right subtree, visit root node, visit left subtree

• Visit left subtree, visit right subtree, visit root node

• Visit left subtree, visit root node, visit right subtree

What is the preorder tree traversal algorithm?

• Visit the right subtree, then traverse the left subtree, and finally visit the root node

• Traverse the left subtree, then visit the root node, and finally traverse the right subtree

• Traverse the right subtree, then visit the root node, and finally traverse the left subtree

• Visit the root node, then traverse the left subtree, and finally traverse the right subtree

How is depth-first search different from breadth-first search?

• Depth-first search explores nodes randomly

• Breadth-first search explores nodes in reverse order

• Depth-first search only explores nodes at the present depth

• Depth-first search explores as far as possible along each branch before backtracking, while breadth-first search explores all the neighbor nodes at the present depth before moving on to nodes at the next depth.

What are the advantages of using depth-first search in tree traversal?

• It requires less memory

• It is more complex to implement

• It is more memory efficient

• It takes longer to execute

What are the disadvantages of using depth-first search in tree traversal?

• It is not suitable for large trees

• It can get stuck in an infinite loop and may not find the shortest path.

• It always finds the shortest path

• It is faster than other traversal methods