Search⌘ K
AI Features
Home
Courses
Grokking the Coding Interview Patterns in C++

Solution: Final Array State After K Multiplication Operations I

Explore how to efficiently find and update the smallest elements in an array after k multiplication operations. Understand the use of min heaps to handle this problem in O(n + k log n) time complexity, and learn to apply this pattern for coding interviews focused on Top K elements.

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] ...