LeetCode 1848. Minimum Distance to the Target Element Solution in Java, C++, Python & More | Explanation + Code

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1848. Minimum Distance to the Target Element

Description

Given an integer array nums (0-indexed) and two integers target and start, find an index i such that nums[i] == target and abs(i - start) is minimized. Note that abs(x) is the absolute value of x.

Return abs(i - start).

It is guaranteed that target exists in nums.

 

Example 1:

Input: nums = [1,2,3,4,5], target = 5, start = 3
Output: 1
Explanation: nums[4] = 5 is the only value equal to target, so the answer is abs(4 - 3) = 1.

Example 2:

Input: nums = [1], target = 1, start = 0
Output: 0
Explanation: nums[0] = 1 is the only value equal to target, so the answer is abs(0 - 0) = 0.

Example 3:

Input: nums = [1,1,1,1,1,1,1,1,1,1], target = 1, start = 0
Output: 0
Explanation: Every value of nums is 1, but nums[0] minimizes abs(i - start), which is abs(0 - 0) = 0.

 

Constraints:

  • 1 <= nums.length <= 1000
  • 1 <= nums[i] <= 104
  • 0 <= start < nums.length
  • target is in nums.

Solutions

Solution 1: Single Pass

Traverse the array, find all indices equal to target, then calculate |i - start|, and take the minimum value.

The time complexity is O(n), where n is the length of the array nums. The space complexity is O(1).

PythonJavaC++GoTypeScriptRust
class Solution: def getMinDistance(self, nums: List[int], target: int, start: int) -> int: return min(abs(i - start) for i, x in enumerate(nums) if x == target)(code-box)

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