Maximum Sum Circular Subarray
Combines normal Kadane with total_sum - min_subarray_sum to wrap around circular bounds.
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 max_subarray_sum_circular(arr):
total = sum(arr)
max_kadane = kadane(arr)
min_kadane = kadane_min(arr)
return max(max_kadane, total - min_kadane) if max_kadane > 0 else max_kadaneEmbed this visualization
Drop a live, looping Maximum Sum Circular Subarray canvas into a blog post or course page.
<iframe src="/embed/max-sum-circular-subarray" 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 Maximum Sum Circular Subarray?
Maximum Sum Circular Subarray runs in O(n) time and O(1) auxiliary space.
Is the Maximum Sum Circular Subarray 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 Maximum Sum Circular Subarray in interviews?
Maximum Sum Circular Subarray shows up in interviews at Meta, Google, Uber.
How does the 3D visualization of Maximum Sum Circular Subarray 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.