The Minimum Time Difference problem gives you a list of time points in "HH:MM" format. You need to find the minimum difference (in minutes) between any two time points in the list. Since time is circular (the day wraps around after 23:59), you must also consider the wrap-around difference. This Minimum Time Difference coding problem tests string parsing, sorting, and circular interval reasoning.
Companies like Microsoft, Meta, Amazon, Google, Bloomberg, and Capital One ask this because it combines three practical skills: parsing time strings, sorting numeric values, and handling circular/modular arithmetic. Real-world applications — scheduling, clocks, cron jobs — make this directly relevant. The array, math, sorting, and string interview pattern is well-represented here.
Sort + circular scan. Convert each time string to total minutes since midnight (HH*60 + MM). Sort the resulting list. Compute differences between adjacent pairs. For the circular wrap-around, add 1440 - last + first (since a day has 1440 minutes). Return the minimum of all computed differences.
Time points: ["23:50", "00:10", "12:00"].
Convert to minutes: [1430, 10, 720].
Sort: [10, 720, 1430].
Differences:
Circular time problems always require checking the wrap-around gap. A clean formula: after sorting, the circular gap is 1440 - sortedList[last] + sortedList[0]. Practice parsing "HH:MM" strings fluently — convert to integer minutes immediately and never work with raw strings in computations. This problem also has a bucket sort O(1440) variant: mark all minute values in a boolean array of size 1440 and scan for the minimum gap — a useful optimization to mention in interviews.
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