/*
The essence of O(1) space complexity is that the algorithm uses a fixed amount of memory,
regardless of input size. Time complexity here is O(n) because we must scan the array.
*/
fun findMissingNumber(arr: IntArray): Int {
val size = arr.size
// formula for the sum of the first (size+1) natural numbers
val expectedSum: Long = ((size + 1) * (size + 2) / 2).toLong()
var actualSum: Long = 0
for (num in arr) {
actualSum += num.toLong()
}
return (expectedSum - actualSum).toInt()
}
fun main() {
val arr = intArrayOf(1, 2, 4, 5, 6)
val missing = findMissingNumber(arr)
println("Missing number: $missing")
}
/*
run:
Missing number: 3
*/