## Priority Queue using Binary Heap

What is the priority queue? Priority queues are abstract data structures where each element in the queue has a priority value. For example, in any airline, baggage under the “First-Class”...

## Merge two Binary Max-Heaps

Binary Max - Heap A binary max - heap follows two conditions: The given tree must be a complete binary tree (All levels are completely filled except the last level...

## K-ary heap

K-ary heaps are similar to the binary heap (where K = 2) just having one difference that instead of 2 child nodes, there can be k child nodes for every...

## Implement stack using Priority Queue or Heap

What is a priority queue? The priority queue is a type of queue data structure having one extra feature of giving priority to every element present in the priority queue....

## Fibonacci Heap – Insertion and Union

Fibonacci Heap: Fibonacci heap is a data structure which collectionis a collection of trees having max heap or min-heap properties. These two properties are the characteristics of the fibonacci heap...

## Implementation Binomial Heap

In data structures, a binomial heap is similar to a binary heap that also supports the quick merging of two heaps. What is a Binomial Heap? A binomial heap is...

## Python Program for Heap Sort

Problem Statement: Given an array, we have to sort it using heap sort. Heap Sort is a sorting algorithm based on the binary heap data structure in which first we...

## Check if a given Binary Tree is Heap

Problem Statement: Given a binary tree, our task is to check whether the given tree follows the max heap property or not. What is a Binary Tree? Binary tree is...

## Difference between Static allocation and Heap allocation

Static allocation: In static allocation, space allocation for all the data objects is done at the compile time. In this type of allocation, all the decisions are made by the...

## Implementation of Min Heap in Python

What is Heap? Heap Data structure primarily focuses on representing priority queue. Min - Heap follows the property of a complete binary tree in which the value of the internal...

## Implementation of Max Heap in Python

Max-Heap Max-Heap follows the property of a complete binary tree in which the value of the internal node is greater than or equal to the value of the children of...

## Heap queue or heapq in Python

Heap Data structure primarily focuses on representing priority queue. In Python, there is an inbuilt module “heapq” which is used for implementing Heap data structure. By default, Min Heap is...

## Overview of data structures binary tree, bst, heap, and hash

Binary Tree: A Binary tree is a tree data structure in which each node has at most two children i.e. the left child and right child. Representation: A binary tree...

## How to check if a given array represents a Binary Heap?

Problem Statement: Given an array of integers, how We have to check if the given array represents a binary max-heap or not. First, we’ll see what is Binary heaps and...

## Height of a complete Binary tree or Binary heap with N Nodes

Complete Binary Tree: A complete binary tree is a binary tree in which all the levels are completely filled except the last level and the last level must be filled...

## Minimum element in a max heap

Problem statement: The Statement is quite straightforward given a max heap, find the minimum element present in the heap. A Max heap is a complete binary tree and in the...

## Difference between binary heap, binomial heap, and Fibonacci heap

Binary Heap: Binary heap is a complete tree i.e. All the levels of the tree are completely filled except the leaf nodes or last level and have all keys on...

## make_heap() in C++ STL

make_heap(): make_heap() function is used to transform a sequence into a heap. Heap is a data structure in which we can place elements accordingly, and make them accessible in O(1)...

## Heap Algorithm for Generating Permutations

Heaps algorithms are used to generate all the possible permutations of n-decimals of a number. This algorithm minimizes the movements, basically, it generates each permutation from the previous one by...

## Why is Binary Heap Preferred over BST for Priority Queue?

What is the priority Queue? Basically, Priority queues are abstract data types and are quite similar to queues, however, in the priority queue, there is some priority for every element....

## Applications of Heap data structures

What is Heap? A heap is a complete binary tree, A complete binary tree is a binary tree in which all the levels are completely filled except the last level...

## Convert BST to Min Heap

Problem Statement: In this problem, we will be given a binary search tree and we have to convert the Binary search tree into a min-heap. This condition is applied to...

## C++ program for heap sort

What is Heap? A heap is a complete binary tree, A complete binary tree is a binary tree in which all the levels are completely filled except the last level...

## Array Representation of a Binary Heap

What is Binary Heap? A Binary Heap is a complete binary tree that follows a heap ordering property. The representation is done as: Parent Node: (i-1)/2 Left Child: (2i) +...

## Skew Heap

Skew Heap: So basically, Skew Heap is a heap data structure implemented as a binary tree. Skew Heap has an advantage over binary trees as skew heaps merge more quickly...

## Heap Sort for decreasing order using min heap

Problem Statement: In this problem, we have given an array, and we have to sort the array in decreasing order using a min-heap. Example: Input : arr[] = {1, 50,...

## Merge k sorted linked lists | Set 2 (Using Min Heap)

Introduction The linked list is one of the most important concepts to know while preparing for interviews. Having a good grasp of a linked list can be a huge plus...

## Min Heap

CONCEPTS USED: Heaps. DIFFICULTY LEVEL: Easy. PROBLEM STATEMENT(SIMPLIFIED): Given an array containing N integers, your task is to create a min-heap using the elements of the given array and print...

## Heap Operations

CONCEPTS USED: Heaps. DIFFICULTY LEVEL: Easy. PROBLEM STATEMENT(SIMPLIFIED): Given an array containing N integers, your task is: To create min-heap(Insert elements one by one). Extract the minimum element from the...

## Small Group

Concepts Used Heap Difficulty Level Hard Problem Statement : Given an array of N integers, we want to know whether it is possible to divide the students into contiguous groups...