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Coding Example: Find shortest path in a maze (Breadth-First approach)

Explore how to find the shortest path in a maze by implementing the breadth-first search algorithm. Understand graph representation of mazes and apply problem vectorization to improve efficiency. This lesson guides you through coding a Graph class and using BFS to identify the shortest route effectively.

Breadth-First Algorithm

The breadth-first (as well as depth-first) search algorithm addresses the problem of finding a path between two nodes by examining all possibilities starting from the root node and stopping as soon as a solution has been found (destination node has been reached). This algorithm runs in linear time with complexity in O(V+E)O(|V|+|E|) ...