Binary Trees/Inorder
From charlesreid1
Notes
The basis of in-order traversal is that the binary tree be sorted. This implements the convention of a sorted binary tree, a recursive definition:
The value of node k is greater than every node in the left subtree of node k. (Left goes first. Left to right precedence.)
The value of node k is less than every node in the right subtree of node k. (Right goes second. Left to right precedence.)
// public inorder_traversal method: define inorder_traversal( tree ): inorder_traversal( tree, root, 0 ) // protected/private recursive inorder_traversal method: // (note, visit() function is the action being performed on the tree node) define inorder_traversal( tree, position, depth ): inorder_traversal( tree, position.left(), depth+1 ); visit( position, depth ) inorder_traversal(tree, position.right(), depth+1 );
Related Pages
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
|