Explore the diverse applications of heaps in computer science, including priority queues, sorting algorithms, graph algorithms, CPU scheduling, and event simulation.
Explore the concept of priority queues, their differences from regular queues, and their applications in real-world scenarios. Learn how priority queues are implemented using heaps for efficient operations.
Explore efficient techniques for merging heaps in JavaScript, including naïve approaches and advanced data structures like Binomial and Fibonacci heaps.
Explore the application of heap data structures in graph algorithms, focusing on optimizing Dijkstra's and Prim's algorithms using heaps for efficient graph traversal and pathfinding.
Explore the performance considerations of heap operations in JavaScript, including time and space complexities, best practices, and optimization strategies for efficient heap implementation.