Find K Closest Elements
Understand how to find k elements closest to a target value in a sorted array by applying modified binary search techniques. Learn to handle tie cases by selecting the smaller value and return results sorted. This lesson helps you develop problem-solving skills for coding interviews by focusing on pattern recognition and efficient search strategies.
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Statement
You are given a sorted array of integers, nums, and two integers, target and k. Your task is to return k number of integers that are close to the target value, target. The integers in the output array should be in a sorted order.
An integer, nums[i], is considered to be closer to target, as compared to nums[j] when |nums[i] - target| |nums[j] - target|. However, when |nums[i] - target| |nums[j] - target|, the smaller of the two values is selected.
Constraints:
-
knums.length -
nums.length numsis sorted in ascending order.-
nums[i],target
Examples
Understand the problem
Let’s take a moment to make sure you've correctly understood the problem. The quiz below helps you check if you're solving the correct problem:
Find K Closest Elements
What are the k closest integers to target if the following data is given as input?
nums = [1, 3, 5, 7, 9, 11]
k = 4
target = -7
[1, 3, 5]
[1, 3, 5, 7]
[1, 3, 5, 9]
[0, 1, 3, 5, 7, 9, 11]
Figure it out!
We have a game for you to play. Rearrange the logical building blocks to develop a clearer understanding of how to solve this problem.
Try it yourself
Implement your solution in main.py in the following coding playground. We've provided a useful code template in the other file that you may build on to solve this problem.
def find_closest_elements(nums, k, target):# Replace this placeholder return statement with your codereturn []