Basic data structures and algorithms interview questions

BASIC DATA STRUCTURES AND ALGORITHMS INTERVIEW QUESTIONS CODE

This is to make sure the height doesnвЂ™t increase up to a certain level as the time complexity of all the operations is mainly dependent upon it. Unlike BST, it always remains balanced regardless of insertions or deletions. Children are ordered with the lowest value to the left and the highest value to the right. With a 3-tree, each node can have a maximum of three children. In a 2-tree, each node only has two children maximum.

What is the difference between 2вЂ“3 trees and binary search trees?ДЄ 2вЂ“3 tree is a balanced and ordered search tree, which provides a very efficient storage mechanism to guarantee fast operations. If not, we call the findHeight() function on the left and right subtrees and return the one that has a greater value plus 1. First, we check if the tree is empty, returning -1 if the given node is null. Therefore, we must recursively find the heights of the left and right subtrees. The height of your tree equals the greatest height from either the left or right subtree.

BASIC DATA STRUCTURES AND ALGORITHMS INTERVIEW QUESTIONS CODE

Big O with nested multiplication (advanced)ДЇind the Big O complexity of the following code snippet: In actuality, the inner loop runs less than 2n-1 times, but you can consider this to be the upper bound. The value of counter is 1 in the first iteration, then 2, then 4, then 8, and so on, until 2^k such that (2^k) (2^k). The inner loop runs counter times and not n times. Therefore, the outer loop runs O(log2 n) times. In the outer loop, the loop variable is multiplied by 2 in each iteration. A loop statement that multiplies/divides the loop variable by a constant takes logk n time because the loop runs that many times.

Basic data structures and algorithms interview questions