Find All Elements in an Array which appears more than N/K times, N is Array Size and k is a Number.

Objective: Given an array of size of N and number k. Find all elements in an Array which appears more than N/K times.

Input: Array [] and number k.

Example:

int[] arrA = { 2, 2, 4, 4, 3, 5, 3, 4, 4, 6, 4, 3, 3, 8 };

K = 4

N/k = 14/4 = 3

Output will be [3,4] they appear 5, 4 times respectively.

Approach:

Read moreFind All Elements in an Array which appears more than N/K times, N is Array Size and k is a Number.

Print All The Nodes Which are X distance from the Given Node

Objective: Given Binary Tree, Print All The Nodes Which are X distance from the Given Node.

Example :

Approach:

Quite Tricky solution, i will explain using the example given in the picture.

Read morePrint All The Nodes Which are X distance from the Given Node

Construct a binary tree from given Inorder and Postorder Traversal

Objective: Given a inorder and postorder traversal, write an algorithm to construct a binary tree from that. This problem was asked in the Microsoft coding competition.

Input: Inorder and postorder traversals

Similar Problems: Make a Binary Tree from Given Inorder and Preorder Traveral.

Appraoch:

int[] inOrder = { 4, 2, 5, 1, 6, 3, 7 };

int[] postOrder = { 4, 5, 2, 6, 7, 3, 1 };.

Read moreConstruct a binary tree from given Inorder and Postorder Traversal

Lowest Common Ancestor in a Binary Tree (Not Binary Search Tree).

Objective: Find the Lowest Common Ancestor of two given nodes in a Binary Tree

What is Lowest Common Ancestor

In a given binary tree, The lowest common ancestor of two nodes n1 and n2 will be a node X such that node X will be the lowest node who has n1 and n2 as its descendants.

Similar Problem: Lowest Common Ancestor in a Binary Search Tree.

Example:

Lowest Common Ancestor Example

Input: A binary Tree and two nodes n1 and n2.

Appraoch:

Read moreLowest Common Ancestor in a Binary Tree (Not Binary Search Tree).

Make a Binary Tree from Given Inorder and Preorder Traveral.

Objective: Given a inorder and preorder traversal, construct a binary tree from that.

Input: Inorder and preorder traversals

Similar Problem: Construct a binary tree from given Inorder and Postorder Traversal

Approach:

int [] inOrder = {2,5,6,10,12,14,15};

int [] preOrder = {10,5,2,6,14,12,15};

    • First element in preorder[] will be the root of the tree, here its 10.
    • Now the search element 10 in inorder[], say you find it at position i, once you find it, make note of elements which are left to i (this will construct the leftsubtree) and elements which are right to i ( this will construct the rightSubtree).
    • See this step above and recursively construct left subtree and link it root.left and recursively construct right subtree and link it root.right.

    Read moreMake a Binary Tree from Given Inorder and Preorder Traveral.

    Level Order Traversal in Zig Zag pattern OR Print in Spiral Pattern

    Objective: Given a binary Tree, Do Level Order Traversal in Zig Zag pattern OR Print in Spiral

    Input: A Binary Tree

    Output: Order Traversal in Zig Zag pattern OR Print in Spiral.

    Level Order Traversal in Zig Zag pattern OR Print in Spiral
    Level Order Traversal in Zig Zag pattern OR Print in Spiral

    Read moreLevel Order Traversal in Zig Zag pattern OR Print in Spiral Pattern

    Inorder Successor in Binary Search Tree without Using Parent link

    Objective: Given a Binary Search tree, find the inorder successor of a node.

    What is Inorder Successor: Inorder successor of a node is the next node in the inorder traversal of the tree. For the last node in a tree, inorder successor will be NULL

    Similar Problems :
    Inorder Successor in Binary Search Tree with parent link
    Inorder Successor in Binary Tree

    Input: A binary search tree, a node x

    Output: Inorder successor of node x.

    Read moreInorder Successor in Binary Search Tree without Using Parent link

    Inorder Successor in Binary Search Tree Using Parent link

    Algorithms – Inorder Successor in Binary Search Tree Using Parent link

    Objective: Given a Binary Search tree in which every node has a link to its parent, find the inorder successor of a node.

    What is Inorder Successor: Inorder successor of a node is the next node in the inorder traversal of the tree. For the last node in a tree, inorder successor will be NULL

    Similar Problems :
    Inorder Successor in Binary Search Tree without parent link
    Inorder Successor in Binary Tree

    Input: A binary search tree with nodes liked to its parents, a node x

    Output: The inorder successor of node x.

    Read moreInorder Successor in Binary Search Tree Using Parent link

    In a Binary Tree, Create Linked Lists of all the nodes at each depth.

    Objective: Given a Binary tree create Linked Lists of all the nodes at each depth , say if the tree has height k then create k linked lists.

    NOTE : This problem is very similar “Print binary tree, each level in one line

    Input: A binary tree

    Output: K linked lists if the height of tree is k. Each linked list will have all the nodes of each level.

    Example:

    Read moreIn a Binary Tree, Create Linked Lists of all the nodes at each depth.

    Rearrange Positive and Negative Numbers of Array On Each Side in O(nlogn)

    Objective: Rearrange Positive and Negative Numbers of an Array so that one side you have positive numbers and other side with negative Integers without changing their respective order.

    Example : Input :  1 -2 3 -4 5 -6 7 -8 9 -10
    
    ReArranged Output :  -2 -4 -6 -8 -10 1 3 5 7 9
    

    Input: An array with positive and negative numbers

    Output: Modified array with positive numbers and negative numbers are on each side of the array.

    Approach:

    Method 1. One naive approach is to have another array of same size and navigate the input array and one scan place all the negative numbers to the new array and in second scan place all the positive numbers to new array. Here the Space complexity will be O(n). We have a better solution which can solve this in O(1) space.

    Method 2: Divide and Conquer

    Read moreRearrange Positive and Negative Numbers of Array On Each Side in O(nlogn)