Visualize Algorithms Like Never Before
Break down complex algorithmic concepts into easy-to-understand animated explanations with detailed step-by-step visualizations.
Break down complex algorithmic concepts into easy-to-understand animated explanations with detailed step-by-step visualizations.
Choose from various algorithm types to visualize and understand their inner workings
Quick Sort, Merge Sort, Bubble Sort
Dijkstra, BFS, DFS, MST
Fibonacci, Knapsack, LCS
Understanding Algorithms Visually
Our visualization tool breaks down complex algorithms into digestible steps with clear animations.
Each algorithm is broken down into discrete steps with visual representations of data structures and operations.
Clear mathematical notation accompanies each visualization to explain the underlying principles.
Follow along with pseudocode and real implementations that highlight key algorithmic concepts.
See how our visualizations bring algorithms to life
Array being divided and merged
function mergeSort(arr):
if length(arr) <= 1:
return arr
mid = length(arr) / 2
left = mergeSort(arr[0...mid])
right = mergeSort(arr[mid...end])
return merge(left, right)
The recurrence relation for merge sort shows that the problem is divided into two subproblems of half the size, and then combined in linear time.
The solution to this recurrence is:
This makes merge sort one of the most efficient sorting algorithms with guaranteed \( O(n \log n) \) performance.