Find Minimum in Rotated Sorted Array II
A hard-tier problem at 44% community acceptance, tagged with Array, Binary Search. Reported in interviews at Google and 0 others.
Find Minimum in Rotated Sorted Array II shows up in Google's assessment loop, and it's the kind of problem that looks like a warm-up until you hit the duplicate trap. You've seen binary search a hundred times, but this one punishes the standard approach. The acceptance rate sits at 44 percent, meaning most candidates either solve it clean or spend their entire session debugging edge cases. The trick isn't complex, but missing it costs time you don't have during a live OA. StealthCoder surfaces a working solution instantly if you blank on the duplicate-handling logic, invisible to the proctor.
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Find Minimum in Rotated Sorted Array II is the kind of problem that decides whether you pass. StealthCoder reads the problem on screen and surfaces a working solution in under 2 seconds. Invisible to screen share. The proctor sees nothing. Made for the engineer who has done the work but might still blank with a webcam pointed at him.
Get StealthCoderThe core challenge: duplicates break binary search. When the left, middle, and right values are equal, you can't decide which half to search. The obvious move, binary search like you learned it, collapses into linear time in the worst case. The fix is small but critical: when you spot that trap, shrink your search space by moving a boundary inward until duplicates vanish. Most candidates recognize binary search as the topic and miss the duplicate-handling detail entirely. Array and Binary Search form the entire problem statement, so there's no hidden second pattern to discover. If you haven't drilled this specific variant, you'll likely code the standard binary search, run it on a test case with heavy duplicates, and watch it time out. That's when StealthCoder's invisible hedge matters most, delivering the correct shrinking logic while you stay calm.
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Find Minimum in Rotated Sorted Array II recycles across companies for a reason. It's hard-tier, and most candidates blank under the timer. StealthCoder is the hedge: an AI overlay invisible during screen share. It reads the problem and surfaces a working solution in under 2 seconds. Made for the engineer who has done the work but might still blank with a webcam pointed at him. Works on HackerRank, CodeSignal, CoderPad, and Karat.
Find Minimum in Rotated Sorted Array II interview FAQ
Why does normal binary search fail here?+
When duplicates sit at both ends and the middle, you can't determine which half contains the minimum. A standard left/right comparison becomes unreliable, and you're forced to scan linearly in worst case. The fix is detecting equality and shrinking the boundary to bypass the ambiguity.
Is this still asked at Google?+
Yes, Google remains the primary source for this problem in reported data. It's a classic binary search variant that tests both algorithmic understanding and edge-case awareness. Expect it to keep appearing in their assessments.
What's the time complexity if I handle duplicates correctly?+
Best and average case stay O(log n) with proper binary search. Worst case degrades to O(n) when the array is heavily duplicated. Interviewers know this; they care that you recognize the trap and implement the shrinking logic correctly.
How does this relate to the easier rotated array problem?+
Without duplicates, you can always pick a half via simple comparison. Duplicates remove that certainty. This problem forces you to handle ambiguity, making it a harder version of the classic rotated sorted array minimum question.
What do most candidates get wrong?+
They code textbook binary search and skip duplicate handling entirely. They either time out on edge cases or submit an incomplete solution. The 44 percent acceptance rate reflects how many miss that detail or panic when their first attempt fails.
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