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Grokking the Coding Interview Patterns in Python

Solution: Final Array State After K Multiplication Operations I

Explore how to efficiently track and update the smallest elements in an array using a min heap. Understand the method to multiply the minimum element K times by respecting its first occurrence and observe the final array state after all operations.

We'll cover the following...

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

  • 1<=1 <= nums[i] ...