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Grokking the Coding Interview Patterns in C++

Solution: Final Array State After K Multiplication Operations I

Explore how to efficiently perform k multiplication operations on the minimum element of an integer array using a min heap. This lesson helps you understand maintaining a min heap for quick access to the smallest element and updating it while preserving order. Learn the step-by-step algorithm, analyze time and space complexities, and apply the Top K elements pattern to solve this problem.

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Statement

Given an integer array nums, an integer k, and an integer multiplier:

  • Perform k operations on nums.

  • In each operation:

    • Find the minimum element x in nums (if there are multiple occurrences of the minimum value, choose the first occurrence).

    • Replace x with x * multiplier.

Return the final state of nums after all k operations.

Constraints:

  • 1<=1 <= nums.length <=100<= 100 ...