Heaps & Priority Queues

Heaps are specialized tree-based data structures that provide efficient access to minimum or maximum elements, making them essential for priority-based operations.

Learning Map

Heap concepts organized from fundamentals to applications.

Prerequisites

• Time & Space Complexity Analysis
• Basic Data Structures
• Trees & Binary Trees

What's in scope

• Heap Fundamentals: Min-heap, max-heap, operations, implementation, and properties
• Heap Applications: Top K elements, median finding, merging sorted lists, task scheduling, and shortest path

How to use this section

• Start with Heap Fundamentals to understand basic heap concepts
• Learn Heap Applications for practical problem-solving

📄️ Heap Fundamentals

Master binary heap operations including insert, extract, heapify, and sift operations for efficient priority queue implementation.

📄️ Heap Applications

Master practical heap applications including top-K problems, running median, merging sorted lists, and Dijkstra's algorithm.