Feb 20, 2025 · Here is the collection of the Top 50 list of frequently asked interview questions on Graph. Problems in this Article are divided into three Levels so that readers can practice according to the difficulty level step by step.

Apr 1, 2024 · Graph algorithms are methods used to manipulate and analyze graphs, solving various range of problems like finding the shortest path, cycles detection. If you are looking for difficulty-wise list of problems, please refer to Graph Data Structure.

Mar 19, 2025 · Enhance your C programming skills with 10 graph-related exercises and solutions. Implement graph structures, perform traversals, and solve graph theory problems.

Exercise Set 6: Graph Algorithms Exercise 6.1 The goal of this exercise is to learn to represent a graph as a data structure. The graph structure is defined as follows. † A Graph class is a hashtable of Nodes. Use the data Object as the key-see below.

Dec 3, 2024 · Give one application for each graph algorithm that we studied: DFS, BFS, topological sorting, MST (Minimum Spanning Tree), SPST (Shortest Path Spanning Tree), all-pairs shortest paths. DFS used in topological sorting

For the graph in Figure 3.7.2, use Kruskal's algorithm (“avoid cycles”) to find a minimum weight spanning tree. Your answer should include a complete list of the edges, indicating which edges you take for your tree and which (if any) you reject in the course of running the algorithm.

L20: Graph Algorithms CSE332, Summer 2021 What is the Data Structure? vIs a Graph an ADT? Maybe! §“Develop an algorithm over the graph, then use whatever data structure is efficient” vThe “best” data structure can depend on: §Properties of the graph (e.g., dense versus sparse) §Common queries

Using Dijkstra's algorithm, the next vertex to be visited after vertex C is vertex b. Click here to try again. Correct! Reset the Score? This will reset the score of ALL 43 exercises. Are you sure you want to continue?

Solve practice problems for Graph Representation to test your programming skills. Also go through detailed tutorials to improve your understanding to the topic.

A disconnected weighted graph obviously has no spanning trees. However, it is possible to find a spanning forest of minimum weight in such a graph. Explain how to modify both Kruskal’s algorithm and Prim’s algorithm to do this.