# Complexity Matters

## Goal

The purpose of this assignment is to understand why algorithms are judged by their Big-Oh notations rather than a more precise model, or runtime measurement. We make a crude approximation of using the clock speed as representing the machine's performance

## Programming Part

### Task

Using Bridges LineChart object, plot the runtime of an algorithm for problem size ranging from 1 to 105. (Don't use all values of n, take steps of reasonable size.)

1. 104 n instructions on a machine at 1 MHz
2. 5.104 n instructions on a machine at 1MHz
3. 102 n2 instruction on a machine at 100MHz

#### Conclude

Does it really matter that you can get a slightly faster machine if you can get a lower BigOh complexity?

Does it really matter that you can gain a factor of 100 if you can get a lower BigOh complexity?

##### Sample Output

### Help

#### For C++

Bridges documentation

LineChart documentation

#### For Java

Bridges documentation

LineChart documentation

#### For Python

Bridges documentation

LineChart documentation