Sliding Window Minimum (Size K)
Tracks minimum element across moving sub-array window of width K.
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 min_sliding_window(nums, k=3):
return [min(nums[i:i+k]) for i in range(len(nums) - k + 1)]Embed this visualization
Drop a live, looping Sliding Window Minimum (Size K) canvas into a blog post or course page.
<iframe src="/embed/sliding-window-minimum" 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 Sliding Window Minimum (Size K)?
Sliding Window Minimum (Size K) runs in O(n) time and O(k) auxiliary space.
Is the Sliding Window Minimum (Size K) 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 Sliding Window Minimum (Size K) in interviews?
Sliding Window Minimum (Size K) shows up in interviews at Google, Amazon, Netflix.
How does the 3D visualization of Sliding Window Minimum (Size K) 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.