Top K Largest Elements
Extracts top K highest elements using min-heap or partial sorting.
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 top_k_largest(arr, k=2):
import heapq
return heapq.nlargest(k, arr)Embed this visualization
Drop a live, looping Top K Largest Elements canvas into a blog post or course page.
<iframe src="/embed/top-k-largest" 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 Top K Largest Elements?
Top K Largest Elements runs in O(n log k) time and O(k) auxiliary space.
Is the Top K Largest Elements 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 Top K Largest Elements in interviews?
Top K Largest Elements shows up in interviews at Nvidia, Intel, Qualcomm.
How does the 3D visualization of Top K Largest Elements 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.