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Grokking the Coding Interview Patterns in Python

Solution: Final Array State After K Multiplication Operations I

Explore how to apply the Top K elements pattern with a min heap to efficiently update the smallest elements in an array after k multiplication operations. Understand how to maintain order by storing indices and achieve an optimal solution with O(n + k log n) time complexity.

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 ...