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Merge Sort Visualizer

Watch how Merge Sort uses divide-and-conquer to split the array into halves and merge them back in sorted order.

Time: O(n log n)

Space: O(n)

Stable: Yes

Divide & Conquer

Animation Speed: 1000ms

Fast (500ms)Slow (3000ms)

Progress: Step 1 of 0Level 0 of 0 | Phase: start

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341

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906

Unsorted

Left Section

Right Section

Left Pointer

Right Pointer

Merging

Sorted

Current Step:

Click Start to begin the Merge Sort visualization

Algorithm Details

Best Case:O(n log n)

Average Case:O(n log n)

Worst Case:O(n log n)

Space:O(n)

Stable:Yes

In-place:No

When to Use Merge Sort

✓Large datasets requiring guaranteed O(n log n)
✓When stability is required
✓External sorting (data doesn't fit in memory)
✓Parallel processing applications
✗Memory-constrained environments

Real-world Applications

•Database sorting operations
•External sorting of large files
•Parallel computing algorithms
•Version control systems (like Git)
•Inversion count problems

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Merge Sort Visualizer

Current Step:

Algorithm Details

When to Use Merge Sort

Real-world Applications

DSAverse

Sorting Algorithm

Merge Sort Visualizer

Current Step:

Algorithm Details

When to Use Merge Sort

Real-world Applications