BFT: Difference between revisions
From charlesreid1
(Created page with "Breadth-first traversal: same idea as breadth-first search BFS, except for traversing the tree. So, instead of searching for something in the tree, you're performing a vis...") |
(→Flags) |
||
| (6 intermediate revisions by the same user not shown) | |||
| Line 1: | Line 1: | ||
==Breadth-first traversal using queues== | |||
Breadth-first traversal: same idea as breadth-first search [[BFS]], except for traversing the tree. So, instead of searching for something in the tree, you're performing a visit action. | Breadth-first traversal: same idea as breadth-first search [[BFS]], except for traversing the tree. So, instead of searching for something in the tree, you're performing a visit action. | ||
When doing BFT, use a queue. The pseudocode looks like this: | |||
<pre> | |||
add root to queue | |||
while queue not empty: | |||
remove next item from queue | |||
perform visit action on item | |||
add children queue | |||
</pre> | |||
==Related== | |||
{{TraversalRelated}} | |||
==Flags== | |||
{{TreesFlag}} | |||
{{GraphsFlag}} | |||
[[Category:Trees]] | |||
[[Category:Binary Trees]] | |||
[[Category:Graphs]] | |||
[[Category:Traversal]] | |||
[[Category:Queues]] | |||
[[Category:DFS]] | |||
Latest revision as of 15:51, 7 September 2017
Breadth-first traversal using queues
Breadth-first traversal: same idea as breadth-first search BFS, except for traversing the tree. So, instead of searching for something in the tree, you're performing a visit action.
When doing BFT, use a queue. The pseudocode looks like this:
add root to queue
while queue not empty:
remove next item from queue
perform visit action on item
add children queue
Related
Graphs:
- Graphs#Graph Traversals
- Graphs/Depth First Traversal
- Graphs/Breadth First Traversal
- Graphs/Euler Tour
- Graphs/Euler Circuit
Traversals on trees:
Breadth-first search and traversal on trees:
Depth-first search and traversal on trees:
OOP design patterns:
Flags
 |
Trees Part of Computer Science Notes
Series on Data Structures Abstract data type: Trees/ADT Concrete implementations: Trees/LinkedTree · Trees/ArrayTree · SimpleTree
Tree Traversal Preorder traversal: Trees/Preorder Postorder traversal: Trees/Postorder In-Order traversal: Binary Trees/Inorder Breadth-First Search: BFS Breadth-First Traversal: BFT Depth-First Search: DFS Depth-First Traversal: DFT OOP Principles for Traversal: Tree Traversal/OOP · Tree Traversal/Traversal Method Template Tree operations: Trees/Operations Performance · Trees/Removal
Tree Applications Finding Minimum in Log N Time: Tree/LogN Min Search
Abstract data type: Binary Trees/ADT Concrete implementations: Binary Trees/LinkedBinTree · Binary Trees/ArrayBinTree Binary Trees/Cheat Sheet · Binary Trees/OOP · Binary Trees/Implementation Notes
|
