{ "data": { "question": { "questionId": "1886", "questionFrontendId": "1760", "boundTopicId": null, "title": "Minimum Limit of Balls in a Bag", "titleSlug": "minimum-limit-of-balls-in-a-bag", "content": "

You are given an integer array nums where the ith bag contains nums[i] balls. You are also given an integer maxOperations.

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You can perform the following operation at most maxOperations times:

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Your penalty is the maximum number of balls in a bag. You want to minimize your penalty after the operations.

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Return the minimum possible penalty after performing the operations.

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Example 1:

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\nInput: nums = [9], maxOperations = 2\nOutput: 3\nExplanation: \n- Divide the bag with 9 balls into two bags of sizes 6 and 3. [9] -> [6,3].\n- Divide the bag with 6 balls into two bags of sizes 3 and 3. [6,3] -> [3,3,3].\nThe bag with the most number of balls has 3 balls, so your penalty is 3 and you should return 3.\n
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Example 2:

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\nInput: nums = [2,4,8,2], maxOperations = 4\nOutput: 2\nExplanation:\n- Divide the bag with 8 balls into two bags of sizes 4 and 4. [2,4,8,2] -> [2,4,4,4,2].\n- Divide the bag with 4 balls into two bags of sizes 2 and 2. [2,4,4,4,2] -> [2,2,2,4,4,2].\n- Divide the bag with 4 balls into two bags of sizes 2 and 2. [2,2,2,4,4,2] -> [2,2,2,2,2,4,2].\n- Divide the bag with 4 balls into two bags of sizes 2 and 2. [2,2,2,2,2,4,2] -> [2,2,2,2,2,2,2,2].\nThe bag with the most number of balls has 2 balls, so your penalty is 2 an you should return 2.\n
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Example 3:

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\nInput: nums = [7,17], maxOperations = 2\nOutput: 7\n
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Constraints:

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