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Grokking the Coding Interview Patterns in Go

Solution: Final Array State After K Multiplication Operations I

Explore a method to update an array through k multiplication operations on its minimum elements. Understand how to use a min heap to efficiently track and update the smallest element while preserving its first occurrence. This lesson teaches you to apply the Top K Elements pattern for performance optimization and analyze the time and space complexity of the approach.

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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 ...