Edges have no direction. Think of a Facebook "friendship"—it is mutual. 2. Weighted vs. Unweighted
Explores neighbors layer by layer. Excellent for finding the shortest path in unweighted graphs.
No presentation on graphs is complete without mentioning how we search through them: graph in data structure ppt download
Finding the fastest path for data packets to travel across the internet. Tips for Your PPT Download When you find a PPT template , look for one that includes: Clear diagrams of Cyclic vs. Acyclic graphs. A comparison table between Matrices and Lists . Step-by-step animations of BFS and DFS traversals.
The lines or paths that connect these nodes (e.g., friendships between people). Edges have no direction
This article breaks down the essentials of graphs to help you build your presentation or study for your next exam. What is a Graph?
Mathematically, a graph is represented as , where V is a set of vertices and E is a set of edges. Key Terminology for Your PPT Weighted vs
An array of lists. Each index represents a vertex and stores a list of its neighbors. This is more memory-efficient for "sparse" graphs. Essential Graph Algorithms