Question: Which of the following is not an application of depth first search?
A For generating topological sort of a graph
B For generating Strongly Connected Components of a directed graph
C Detecting cycles in the graph
D Peer to Peer Networks
Answer: Peer to Peer Networks
| Application of depth first search |
Description |
| Topological Sorting |
· Ordering nodes in directed acyclic graphs (dags) to represent dependencies and scheduling tasks. |
| Cycle Detection |
· Identifying cycles in graphs
· Useful for deadlock detection
· Dependency analysis
· Plagiarism detection |
| Graph Traversal |
· Traversing and searching through graphs
· Finding paths cycles and connected components. |
| Maze Solving |
· Navigating through mazes and labyrinth puzzles to find a solution or determine an unsolvable path. |
| Pathfinding Algorithms |
· Finding optimal paths in robotics, video games and GPS navigation by exploring potential routes. |
| Strongly Connected Components (SCC) |
· Discovering SCCs in directed graphs
· Valuable in model checking
· Compiler optimizations and network analysis |
| Puzzle Solving |
· Solving puzzles like N-Queens
· Sudoku and the Eight-Puzzle by searching through possible states and solutions. |
| Syntax Analysis in Compilers |
· Building abstract syntax trees (ASTs) from source code in compiler design for syntax analysis. |
| Web Crawling |
· Indexing web pages, collecting data and following links to explore websites for web crawling and web scraping. |
| Artificial Intelligence |
· Solving game trees
· Planning and state space search in AI applications like chess, robotics and decision-making. |
| Biological Research |
· Applications in genome sequencing and phylogenetic tree construction
· Protein structure prediction in computational biology |
| Network Routing |
· Determining efficient paths in computer networks for data packet routing and communication. |
| Natural Language Processing (NLP) |
· Parsing and analyzing natural language sentences for tasks like sentence parsing and part-of-speech tagging. |
