Nonlinear Data Structures Explained: Graphs, BFS, DFS, Heaps, and Priority Queues

In this lecture, we explore nonlinear data structures and how they help represent complex real-world data beyond simple linear sequences. This class covers the key concepts of graphs and heaps, including graph terminology, adjacency list and adjacency matrix representation, BFS and DFS traversal, priority queues, heap properties, heap insertion, heap extraction, and heap-based selection algorithms. This lesson is useful for students studying Data Structures, Algorithms, Computer Science, AI, and Big Data. Topics covered: Graphs, Vertices, Edges, Paths, Weights, BFS, DFS, Queue, Stack, Priority Queue, Min-Heap, Max-Heap, Heap Insertion, Heap Extraction, Selection Algorithms.