Graph algorithms are essential for solving problems involving networks, relationships, and connectivity. Here are tips and strategies for solving problems related to graph algorithms:
I. TIPS & STRATEGIES FOR GRAPH ALGORITHMS PROBLEMS:
1. Understand the Problem:
- Clearly understand the problem statement, including the type of graph (directed, undirected, weighted, etc.), the nature of the nodes and edges, and the specific tasks or queries required.
1.1. Indicators of Graph Algorithms Problems:
i. Keywords in Problem Descriptions:
- Look for words like “graph,” “vertex,” “edge,” “path,” “cycle,” “connected,” “shortest path,” “topological sort,” and other graph-related terms in the problem statement.
- Problems involving traversal, connectivity, or relationships between nodes often imply the use of graph algorithms.
ii. Graph Structures:
- Some problems explicitly mention that the input is a graph or is represented in a graph-like structure (e.g., adjacency matrix…
