Artificial Intelligence Introduction

Artificial Intelligence Project

Time complexity of BFS algorithm can be obtained by the number of nodes traversed in BFS until the Shallowest node. Where d is the depth of Shallowest node and b is a node at every state.

T(b)=1+b^{2}+b^{3}+....+b^{d}=O(b^{d})

Space complexity of Breadth First Search (BFS) is given by the memory size of frontier which is O(b d ).

Breadth First Search (BFS) is complete that mean if the solution of a given problem is exists at any node with a finite depth, then the algorithm definitely finds a solution.

Breadth First Search (BFS) is Optimal if path coast is a non-decreasing function of the depth of the node.

Silan Software is one of the India's leading provider of offline & online training for Java, Python, AI (Machine Learning, Deep Learning), Data Science, Software Development & many more emerging Technologies.

We provide Academic Training || Industrial Training || Corporate Training || Internship || Java || Python || AI using Python || Data Science etc