Coding made easy
Write an algorithm to compute the height of a binary tree with leaf nodes forming a circular doubly linked list where the left and right pointers of the leaf node will act as a previous and next pointer of circular doubly linked list respectively. For example, consider below binary tree. The leaf nodes are …
Given a binary tree, print vertical sum of it. Assume, the left and right child of a node makes 45 degree angle with the parent.
In this post, we will see how to detect cycle in a a linked list using Hashing and Floyd’s Cycle Detection Algorithm.
Given a linked list, split it into two lists where each list contains alternating elements from the original list and then finally join them back together.
Given a linked list, move its last node to front.
Given a linked list, check if linked list is palindrome or not.
Given a linked list, rearrange linked list nodes in specific way in linear time and constant space. The alternate positions in the output list should be filled with the nodes starting from the beginning and from the very end of the original list respectively.
Given a linked list and two positive integers M and N, delete every N nodes in it after skipping M nodes.
Write a function that takes two lists, each of which is sorted in increasing order, and merges the two together into one list which is in decreasing order and return it. In other words, merge two sorted linked lists from their end.
Given two linked lists, merge their nodes together into first list by taking nodes alternately between the two lists. If first list runs out, remaining nodes of second list should not be moved.
Given a linked list and a positive integer K, find K’th node from the end in a linked list.
Given a linked list, reverse every adjacent group of k nodes in it where k is given positive integer.