From 0 to 1 Data Structures & Algorithms in Java - Minimum Value, Maximum Depth And Mirror

This video tutorial covers solving tree problems using recursion. It explains how to find the minimum value in a binary search tree, calculate the maximum depth of a binary tree, and mirror a binary tree. The tutorial emphasizes practicing problems independently before reviewing solutions and highlights resources from the Stanford CS Education Library.

What is the primary technique used to solve tree problems in this lecture?

• Greedy Algorithms

• Dynamic Programming

• Recursion

• Iteration

In a binary search tree, where is the minimum value located?

• Any leaf node

• Leftmost node

• Root node

• Rightmost node

What is the base case for finding the minimum value in a BST using recursion?

• When the node has no right child

• When the node is a leaf

• When the node has no left child

• When the node is null

How is the maximum depth of a binary tree defined?

• The number of nodes in the tree

• The distance from the root to the furthest leaf node

• The number of leaf nodes

• The height of the root node

What is the depth of the root node in a binary tree?

• 1

• 0

• 2

• Depends on the tree

Which Java function is used to find the maximum of two integers when calculating maximum depth?

• Math.min

• Math.max

• Math.abs

• Math.sqrt

What does mirroring a binary tree involve?

• Swapping left and right children of all nodes

• Removing all leaf nodes

• Reversing the order of nodes

• Swapping the root with a leaf

In a mirrored binary tree, what happens to the root node?

• It swaps with the leftmost node

• It remains the same

• It becomes a leaf node

• It swaps with the rightmost node

What is the first step in the recursive function to mirror a binary tree?

• Check if the root is null

• Find the minimum value

• Swap the root with a leaf

• Calculate the depth of the tree

What resource is recommended for further practice on tree problems?

• Khan Academy

• Stanford CS Education Library

• MIT OpenCourseWare

• Coursera