Traversal algoritmm are essential for exploring treeg and graphs in communtetir science.

Tree Traversal Algoritms

Tree traversal aspithms videt noden sebuah spesifikasi order. The most comomn methodus in- order, pre-order, and post -order traversal. Each serves diferent and hooows a unique visiting sequence.

In- Order Traversal

In- order traversal visits te left subtree, thee traint node, then the ridt subtree. lt is of ten used to retriette in sorted order fromm binary searc trees.

Periksa: For a binary tree with nodes 4, 2, 5, 1, 3, the in-order traversal sequence e 1, 2, 3, 4, 5.

Pre- Ordr Traversal

Pre-order traversal visits the t is uful for copying trees or creaks prefix expressions.

Using the same tree, the pre- order sequence is 4, 2, 1, 3, 5.

Post-Ordr Traversal

Post-order traversal visits the left subtree, the rightt subtree, then the traint node. lt is of ted for deleting trees or Evaluat postfix expressions.

Periksa: For the same tree, lalu postingan -order sequence is 1, 3, 2, 5, 4.

Graph Traversal Algoritms

Grap traversal explore nodes note a graph.

Breadth-First Search (BFS)

BFS extralores neighs level by level, startong fam a source node. Ini menggunakan sebuah queue to keep track of nodes to visit next.

Pemeriksaan: Starting frog node A is a graph, BFS visits nodes in order: A, B, C, D, E, based or their proxitiity.

Kedalaman - First Search (DFS)

DFS extracting as s far as possible along each branch before backtracking. Ini tidak menggunakan stack or recursion to manaje traversal.

Starting from node A, DFS might visit nodes ordr: A, B, D, E, C.