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I have the following computer problem:
Given an array arr of integers, check if there exists two integers N and M such that N is the double of M ( i.e. N = 2 * M).
More formally check if there exists two indices i and j such that :
i != j
0 <= i, j < arr.length
arr[i] == 2 * arr[j]
Example 1:
Input: arr = [10,2,5,3]
Output: true
Explanation: N = 10 is the double of M = 5,that is, 10 = 2 * 5.
Example 2:
Input: arr = [7,1,14,11]
Output: true
Explanation: N = 14 is the double of M = 7,that is, 14 = 2 * 7.
Example 3:
Input: arr = [3,1,7,11]
Output: false
Explanation: In this case does not exist N and M, such that N = 2 * M.
Constraints:
2 <= arr.length <= 500
-10^3 <= arr[i] <= 10^3
Summarizing I have to validate if a vector has a number that has its double.
I already have the solution that works:
var checkIfExist = function(arr) {
const set = new Set();
for(let i = 0; i < arr.length; i ++) {
const currValue = arr[i];
if(set.has(currValue)) {
return true
}
set.add(currValue / 2);
set.add(currValue * 2);
}
return false;
};
I have already solved the problem, but I am in doubt the complexity of my solution. I do not know if the set
is O(1) in this case. For me the solution is O(N 2), but I am being told that it is O(N). Someone can explain to me the complexity of set
.
Set is not ordered, so it must be a hashtable, so O(1). Its solution iterates the array with a for, so it is O(N).
– user201467