Explore the breadth-first traversal algorithm in JavaScript, learn how it differs from depth-first traversal, and understand its applications in graph theory and tree data structures.
Explore the diverse applications of heaps in computer science, including priority queues, sorting algorithms, graph algorithms, CPU scheduling, and event simulation.
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 Depth-First Search (DFS) algorithm in JavaScript, understand its traversal order, and learn both recursive and iterative implementations. Discover the use cases and complexities of DFS in graph traversal.
Learn how to detect cycles in graphs using DFS, understand the differences between directed and undirected graphs, and implement algorithms to identify cycles in JavaScript.
Explore Dijkstra's Algorithm for finding the shortest path in weighted graphs using JavaScript. Learn implementation techniques, understand its limitations, and see practical examples.
Explore the Bellman-Ford algorithm for finding shortest paths in graphs with negative edge weights, understand its implementation in JavaScript, and learn how it differs from Dijkstra's algorithm.
Explore the concept of Strongly Connected Components (SCCs) in directed graphs, learn Kosaraju's algorithm for identifying SCCs, and apply these concepts to practical problems in JavaScript.