Graph Traversals
Explore graph traversal methods like breadth-first search and depth-first search in Go. Understand how to systematically visit all graph vertices, learn their time and space complexities, and apply these traversals to solve fundamental graph problems. This lesson equips you with essential skills for efficient graph exploration and algorithm design.
We'll cover the following...
Graph traversal is the process of visiting all vertices (nodes) in a graph systematically. It is a fundamental concept because many graph algorithms rely on efficient graph exploration.
The two most common graph traversal techniques are:
Breadth-first search (BFS)
Depth-first search (DFS)
Breadth-first search (BFS)
Breadth-first search explores a graph level by level. Starting from a chosen node, it first visits all immediate neighbors before moving to nodes at the next level.
Key idea
BFS uses a queue (FIFO: first in, first out). In Go, we can implement a simple queue with a slice. ...