What are the differences between graph search algorithms?

What are the differences between graph search algorithms?

Graph search algorithms are methods for traversing or searching through graph data structures. The main types include Depth-First Search (DFS), Breadth-First Search (BFS), Dijkstra's algorithm, and A* search. Each has its strengths and weaknesses depending on the use case.

Can you explain how Depth-First Search works?

Depth-First Search (DFS) explores as far down a branch as possible before backtracking. It uses a stack to remember the path taken and can be implemented recursively or iteratively.

What about Breadth-First Search?

Breadth-First Search (BFS) explores all neighbors at the present depth prior to moving on to nodes at the next depth level. It uses a queue to keep track of the nodes to visit next.

When should I use Dijkstra's algorithm?

Dijkstra's algorithm is best used for finding the shortest path in a graph with non-negative edge weights. It's efficient for graphs with many nodes and edges.

What is the A* search algorithm?

A* search algorithm is an informed search algorithm that uses heuristics to improve efficiency. It combines features of BFS and Dijkstra's algorithm to find the shortest path.