# Trees/Operations Performance

### From charlesreid1

## Contents

# Measuring tree class operations

This page covers performance tests of tree class operations and verification of their big-O performance.

## Linked binary tree

The process of building the linked binary tree class in Java was:

- Follow the Binary Trees class implementation laid out in Goodrich book, Chapter 8, Trees, in the Binary Trees/LinkedBinTree class: https://charlesreid1.com:3000/cs/java/src/master/trees/LinkedBinTree.java
- Build tests for the linked binary tree class in TreeTesting.java: https://charlesreid1.com:3000/cs/java/src/master/trees/TreeTesting.java
- Build timing scripts for the linked binary tree class in TreeTiming.java: https://charlesreid1.com:3000/cs/java/src/master/trees/TreeTiming.java

The timing script was used to perform verification that the amortized cost of the add and remove operations were as expected.

Note that these measurements were run on full binary trees, so consider the inputs biased.

### Adding nodes

### Removing nodes

### Traversing nodes

Note that these results are not saying the breadth-first traversal takes O(1) time, they are showing the per-operation cost of traversing a single node (like adding or removing a single node). This should remain O(1) cost if the overall operation of traversing the tree is to scale like O(N). If the cost of traversal scales like O(N), there is a leaky algorithm implementation and it will scale like O(N^2) when the rubber meets the road.

# Flags

TreesSeries on Data Structures Abstract data type: Trees/ADT Concrete implementations: Trees/LinkedTree
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 operations:
Finding Minimum in Log N Time: Tree/LogN Min Search
Abstract data type: Binary Trees/ADT Concrete implementations: Binary Trees/LinkedBinTree Binary Trees/Cheat Sheet
· Template:TreesFlagBase · e |