Majority Element (> n/2 Times)
Boyer-Moore Voting Algorithm finds candidate with count > n/2 in O(n) time and O(1) space.
Live loop — open the studio to scrub, add your own array, or race it in Battle Arena.
Asked in interviews at
Reference implementation (Python)
def majority_element(arr):
candidate, count = None, 0
for x in arr:
if count == 0:
candidate = x
count += 1 if x == candidate else -1
return candidateEmbed this visualization
Drop a live, looping Majority Element (> n/2 Times) canvas into a blog post or course page.
<iframe src="/embed/majority-element" width="100%" height="380" style="border:1px solid #e6e8ec;border-radius:14px" loading="lazy" title="3D algorithm visualization by CodeWithMunnaX"></iframe>Frequently asked
What is the time and space complexity of Majority Element (> n/2 Times)?
Majority Element (> n/2 Times) runs in O(n) time and O(1) auxiliary space.
Is the Majority Element (> n/2 Times) visualizer free?
The core 3D visualizer, Web Audio chimes and step intuition are free. A one-time ₹49 Pro Pass unlocks advanced algorithms, large custom arrays, Battle Arena and reel export.
Which companies ask Majority Element (> n/2 Times) in interviews?
Majority Element (> n/2 Times) shows up in interviews at Google, Amazon.
How does the 3D visualization of Majority Element (> n/2 Times) work?
Each array value becomes a 3D pillar whose height maps to its value. Comparisons glow amber, swaps flash red, and settled elements lock green while a floating pointer badge tracks the active index — synchronized line-by-line with the Python code.