Algorithm Comparison

Compare two algorithms side-by-side to understand their differences

Select Algorithms to Compare

Algorithm 1

Algorithm 2

A simple sorting algorithm that repeatedly steps through the list, compares adjacent elements and swaps them if they are in the wrong order.

Time: O(n²)

Space: O(1)

Start of Pass 1. Compare the first two elements: 5 and 3.

An efficient sorting algorithm, serving as a systematic method for placing the elements of an array in order using a pivot.

Time: O(n log n)

Space: O(log n)

Initial array. Let's partition the whole array. Pivot is 70 (last element).

Step 1 / 16

Speed:

O(n²):Quadratic time - grows with square of input size

Tip: The chart shows how the number of operations grows as input size increases. Lower curves indicate better performance for large inputs.