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Solution: Maximum Value at a Given Index in a Bounded Array

Explore an algorithm that combines modified binary search and arithmetic sequence calculations to maximize a value at a specified index within a bounded array, respecting constraints on sum and consecutive element differences. Understand how to effectively apply this approach to solve search problems with time complexity O(log maxSum) and constant space usage.

Statement

Given three positive integers, n, index, and maxSum, output the nums[index] by constructing an array of nums with the length of n, which satisfies the following conditions:

  • The length of the array nums is equal to n.

  • Each element nums[i] is a positive integer, where 11\leqi <\ltn.

  • The absolute difference between two consecutive elements, nums[i] and nums[i+1], is at most 11.

  • The sum of all elements in nums does not exceed maxSum.

  • The element at nums[index] contains the maximum value.

Constraints:

  • 11\leqn \leqmaxSum \leq10910^9

  • 00\leqindex <\ltn

Solution

The solution to maximizing the value at a given index in a bounded array involves using a binary search approach combined with mathematical calculations of arithmetic sequences. To achieve this, we need to ensure that the values on both sides of nums[index] decrease by at most 11 until reaching 11 (we cannot go beyond 1 because the elements should be positive), minimizing the overall sum of the array.

The algorithm to solve this problem is as follows:

Initialization

  • Initialize two variables, left and right, with the values 11 and maxSum, respectively. We can assign a minimum value of 11 to an element, and the maximum value of maxSum.

  • Start a loop and Iterate until left is less than right, and calculate the sum of left and right elements as listed below:

Calculate mid

  • Calculate mid as mid=(left+right+1)/2mid = (left + right + 1) / 2.

Determine values on the left side

  • If mid is greater than index, there will be a sequence starting from mid to the midindexmid - index ...