Why is dfs not optimal

Exponentiation by squaring. String Matching and Parsing. Primality Testing Algorithms. A good algorithm should produce the correct outputs for any set of legal inputs. A good algorithm should execute efficiently with the fewest number of steps as possible.

A good algorithm should be designed in such a way that others will be able to understand it and modify it to specify solutions to additional problems. Graph search algorithm that finds a path from a given initial node to a given goal node. Beam Search. Beam search is a search algorithm that is an optimization of best-first search.

Binary search. Branch and bound. Buchberger's algorithm. Data compression. Diffie-Hellman key exchange. Dijkstra's algorithm. Main page Questions categories Philosophy and history Common philosophy Philosophy in education Philosophy and sociology Philosophy edu Students info Common articles Best philosophy topics.

Get a writing assignment done or a free consulting with qualified academic writer. Read also Is it possible for a plane to fly into space? What are the effects of space pollution? What is the most inspiring quote ever? How do you show problem solving skills on your CV? How do I get rid of roaches in my office? Depth First Search DFS algorithm traverses a graph in a depthward motion and uses a stack to remember to get the next vertex to start a search, when a dead end occurs in any iteration.

For an undirected graph, each edge will appear twice. Once in the adjacency list of either end of the edge. BFS can be used to find the shortest path, with unit weight edges, from a node origional source to another. Whereas, DFS can be used to exhaust all the choices because of its nature of going in depth, like discovering the longest path between two nodes in an acyclic graph.

BFS uses always queue, Dfs uses Stack data structure. As the earlier explanation tell about DFS is using backtracking. DFS will outperform BFS on thickly connected graphs with high branching factor, because BFS experiences an exponential blowup in nodes expanded as the branching factor increases.

Depth-first tree search can get stuck in an infinite loop, which is why it is not " complete ". Graph search keeps track of the nodes it has already searched, so it can avoid following infinite loops. Dijkstra's algorithm is Dijkstra's algorithm, it is neither algorithm because BFS and DFS themselves are not Dijkstra's algorithm: BFS doesn't use a priority queue or array, should you consider using that storing the distances, and.

BFS doesn't perform edge relaxations. Category: technology and computing artificial intelligence. Is DFS greedy? Does DFS find shortest path? Active Oldest Votes. Improve this answer.

Thanks for your great answer. What about this scenario: The goal is in the left most branch of tree. Which one is optimal in this situation? HamedMinaee: If you know the goal is in the left-most branch of the tree, you don't need a search algorithm at all. Just take the first action in the list every time. It's not a particularly common case, so it's not useful to optimize for that case.

StefanoSanfilippo: Well, you can usually at least get something to use as a heuristic. Stefano Sanfilippo Stefano Sanfilippo Community Bot 1 1 1 silver badge. Shashwat Jha Shashwat Jha 1 1 1 bronze badge. Whilst this may theoretically answer the question, it would be preferable to include the essential parts of the answer here, and provide the link for reference.

Sign up or log in Sign up using Google. Sign up using Facebook. Sign up using Email and Password. Post as a guest Name. Email Required, but never shown. The Overflow Blog.