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Grokking the Coding Interview Patterns in C#

Solution: Final Array State After K Multiplication Operations I

Explore how to efficiently determine and update the minimum element in an array repeatedly by using the top K elements pattern with a min heap, applying a multiplier k times. Understand the algorithm's time and space complexity and learn to implement this solution for coding interviews involving array operations and priority queues.

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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 ...