Min-Heap Data structure in Different languages
A min heap can be implemented using the priority_queue container from the Standard Template Library (STL). The priority_queue container is a type of container adapter that provides a way to store elements in a queue-like data structure in which each element has a priority associated with it.
Syntax:
priority_queue < int, vector<int>, greater<int> > minH;
In Java, a min heap can be implemented using the PriorityQueue class from java.util package. The PriorityQueue class is a priority queue that provides a way to store elements in a queue-like data structure in which each element has a priority associated with it.
Syntax:
PriorityQueue<Integer> minHeap = new PriorityQueue<Integer>();
In Python, a min heap can be implemented using the heapq module, which provides functions for implementing heaps. Specifically, the heapq module provides a way to create and manipulate heap data structures.
Syntax:
heap = []
heapify(heap)
4. Min-Heap in C#
In C#, a min heap can be implemented using the PriorityQueue<T> class from the System.Collections.Generic namespace. The PriorityQueue<T> class is a priority queue that provides a way to store elements in a queue-like data structure in which each element has a priority associated with it.
Syntax:
var minHeap = new PriorityQueue<int>();
5. Min-heap in JavaScript
A min heap is a binary tree where every node has a value less than or equal to its children. In JavaScript, you can implement a min heap using an array, where the first element represents the root node, and the children of a node at index i are located at indices 2i+1 and 2i+2.
Syntax:
const minHeap = new MinHeap();
Introduction to Min-Heap – Data Structure and Algorithm Tutorials
A Min-Heap is defined as a type of Heap Data Structure in which each node is smaller than or equal to its children.
The heap data structure is a type of binary tree that is commonly used in computer science for various purposes, including sorting, searching, and organizing data.
Purpose and Use Cases of Min-Heap:
- Implementing Priority Queue: One of the primary uses of the heap data structure is for implementing priority queues.
- Dijkstra’s Algorithm: Dijkstra’s algorithm is a shortest path algorithm that finds the shortest path between two nodes in a graph. A min heap can be used to keep track of the unvisited nodes with the smallest distance from the source node.
- Sorting: A min heap can be used as a sorting algorithm to efficiently sort a collection of elements in ascending order.
- Median finding: A min heap can be used to efficiently find the median of a stream of numbers. We can use one min heap to store the larger half of the numbers and one max heap to store the smaller half. The median will be the root of the min heap.
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