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๐—ก๐—ฃ๐—Ÿ๐—–๐—ผ๐—ฑ๐—ฒ๐—ฟ โ€“ ๐—ค๐˜‚๐—ฒ๐˜€๐˜๐—ถ๐—ผ๐—ป ๐—ผ๐—ณ ๐˜๐—ต๐—ฒ ๐— ๐—ผ๐—ป๐˜๐—ต (๐—”๐—ฝ๐—ฟ๐—ถ๐—น ๐Ÿฎ๐Ÿฌ๐Ÿฎ๐Ÿฒ) Weโ€™re excited to present this monthโ€™s challenge: ๐˜‰๐˜ข๐˜ญ๐˜ฆ๐˜ฏโ€™๐˜ด ๐˜‰๐˜ช๐˜จ ๐˜›๐˜ฆ๐˜ด๐˜ต: ๐˜๐˜ฐ๐˜ธ ๐˜”๐˜ข๐˜ฏ๐˜บ ๐˜™๐˜ฆ๐˜ง๐˜ฐ๐˜ณ๐˜ฎ๐˜ด ๐˜Š๐˜ข๐˜ฏ ๐˜๐˜ฆ ๐˜๐˜ช๐˜ฏ๐˜ช๐˜ด๐˜ฉ? This problem explores real-world planning constraints: Fixed time windows Limited daily capacity Sequential dependencies (strict order execution) ๐ŸŽฏ Objective: Determine theย maximum number of reforms (k)ย that can be completed under these constraints. This is a great exercise in: โœ”๏ธ Scheduling optimization โœ”๏ธ Greedy / DP thinking โœ”๏ธ Constraint-based planning Join the discussion and try solving it: ๐Ÿ’ฌ Discord: nplcoder.org/discord Weโ€™re looking forward to seeing your approaches and insights. #NPLCoder #Algorithms #Optimization #CompetitiveProgramming #TechCommunity

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