Explanation

552.Find the Minimum and Maximum with Constant Space

Easy
Given an array nums, return [minimum, maximum]. Besides time, algorithms use memory. Space complexitySpace ComplexityHow much extra memory an algorithm needs, as a function of the input size n — not counting the input itself. measures the extra memory an algorithm needs beyond its input. Sorting a copy needs a second array as big as the first (O(n) space); a single pass that remembers only the smallest and largest values so far needs two variables, whatever the input size — constant spaceConstant Space O(1)Extra memory that stays the same no matter how large the input is..

Example 1:

Input: nums = [7,-2,9,4]

Output: [-2,9]

Example 2:

Input: nums = [5]

Output: [5,5]

+ 5 hidden test cases run on Submit.

Constraints:

  • ●1 ≤ nums.length ≤ 1000
  • ●-1000000 ≤ nums[i] ≤ 1000000

nums =

[7, -2, 9, 4]