3346. Maximum Frequency of an Element After Performing Operations I
Maximum Frequency of an Element After Performing Operations I (LeetCode 3346) is a Medium Data Structures and Algorithms interview problem you can solve, run and submit on Thita.ai. It belongs to the Sliding Window pattern, in the Variable Size (Condition-Based) subpattern.
How to solve Maximum Frequency of an Element After Performing Operations I
Maximum Frequency of an Element After Performing Operations I is a Variable Size Sliding Window problem, part of Sliding Window. Master variable-size sliding window for condition-based problems like longest substring without repeating characters.
Work towards the solution in these steps:
- Sort the array and try each value in range as a candidate.
The reference solution runs in O(nlogn) time and O(n) space.
The Maximum Frequency of an Element After Performing Operations I solution and editorial walks through the full approach with reference code.
Problem statement
You are given an integer array nums and two integers k and numOperations.
You must perform an operation numOperations times on nums, where in each operation you:
- Select an index i that was not selected in any previous operations.
- Add an integer in the range [-k, k] to nums[i].
Return the maximum possible frequency of any element in nums after performing the operations.
Example 1:
Input: nums = [1,4,5], k = 1, numOperations = 2
Output: 2
Explanation:
We can achieve a maximum frequency of two by:
- Adding 0 to nums[1]. nums becomes [1, 4, 5].
- Adding -1 to nums[2]. nums becomes [1, 4, 4].
Example 2:
Input: nums = [5,11,20,20], k = 5, numOperations = 1
Output: 2
Explanation:
We can achieve a maximum frequency of two by:
- Adding 0 to nums[1].
Constraints:
- 1 <= nums.length <= 105
- 1 <= nums[i] <= 105
- 0 <= k <= 105
- 0 <= numOperations <= nums.length
Topics and companies
Topics: Array, Binary Search, Sliding Window, Sorting, Prefix Sum.
How to practise Maximum Frequency of an Element After Performing Operations I on Thita.ai
Starter code is provided in C, C#, C++, Go, Java, JavaScript and Python. Your solution runs against 5 test cases for this problem, with the AI coach available for a hint when you are stuck rather than a finished answer. The reference solution runs in O(nlogn) time and O(n) space.
Open Maximum Frequency of an Element After Performing Operations I in the code editor, or read the Maximum Frequency of an Element After Performing Operations I editorial for a worked solution with its approach and complexity analysis.
Where Maximum Frequency of an Element After Performing Operations I sits in the DSA pattern sheet
Problems related to Maximum Frequency of an Element After Performing Operations I
Other problems that use the same Variable Size (Condition-Based) and Sliding Window techniques:
- Contains Duplicate II — Easy, same subpattern
- Continuous Subarrays — Medium, same subpattern
- Find Longest Special Substring That Occurs Thrice I — Medium, same subpattern
- Frequency of the Most Frequent Element — Medium, same subpattern
- Fruit Into Baskets — Medium, same subpattern
- Jump Game VII — Medium, same subpattern
Maximum Frequency of an Element After Performing Operations I FAQ
What is the LeetCode number of Maximum Frequency of an Element After Performing Operations I?
Maximum Frequency of an Element After Performing Operations I is LeetCode problem 3346, rated Medium.
What pattern is used to solve Maximum Frequency of an Element After Performing Operations I?
Maximum Frequency of an Element After Performing Operations I is a Variable Size Sliding Window problem. It belongs to the Sliding Window pattern, in the Variable Size (Condition-Based) subpattern.
What is the time complexity of Maximum Frequency of an Element After Performing Operations I?
The reference solution runs in O(nlogn) time and O(n) space.