Introduction to Tree Breadth-First Search
Understand how tree breadth-first search (BFS) traverses nodes level by level starting from the root. Learn BFS features, its time complexity, traversal strategy using queues, and when to apply it effectively. Explore real-world examples like file system analysis and DOM traversal to master this essential coding interview pattern.
We'll cover the following...
About the pattern
A tree is a graph that contains the following properties:
It is
undirected A graph with edges that do not have a specific direction assigned to them. It is
acyclic A graph without cycles. It is a connected graph where any two vertices are connected by exactly one path.
Its nodes can contain values of any data type.
The following key features set trees apart from other data structures, such as arrays or linked lists:
They organize data in a hierarchical manner with a root node at the top and child nodes branching out from it.
They are nonlinear, which means that the elements in a tree are not arranged sequentially but rather in a branching structure.
The time complexity for search and insert operations is typically
...