Sum of Squares of Special Elements
Problem Description​
You are given a 1-indexed integer array nums
of length n
.
An element nums[i]
of nums
is called special if i
divides n
, i.e. n % i == 0
.
Return the sum of the squares of all special elements of nums
.
Example​
Example 1:
Input: nums = [1,2,3,4]
Output: 21
Explanation: There are exactly 3 special elements in nums: nums[1] since 1 divides 4, nums[2] since 2 divides 4, and nums[4] since 4 divides 4.
Hence, the sum of the squares of all special elements of nums is nums[1] * nums[1] + nums[2] * nums[2] + nums[4] * nums[4] = 1 * 1 + 2 * 2 + 4 * 4 = 21.
Example 2:
Input: nums = [2,7,1,19,18,3]
Output: 63
Explanation: There are exactly 4 special elements in nums: nums[1] since 1 divides 6, nums[2] since 2 divides 6, nums[3] since 3 divides 6, and nums[6] since 6 divides 6.
Hence, the sum of the squares of all special elements of nums is nums[1] * nums[1] + nums[2] * nums[2] + nums[3] * nums[3] + nums[6] * nums[6] = 2 * 2 + 7 * 7 + 1 * 1 + 3 * 3 = 63.
Constraints​
1 <= nums.length == n <= 50
Solution Approach​
Intuition:​
To efficiently determine the sym of square of the special elements.
Solution Implementation​
Code In Different Languages:​
- JavaScript
- TypeScript
- Python
- Java
- C++
class Solution {
sumOfSquares(nums) {
let n = nums.length;
let sqr = 0;
for (let i = 0; i < n; i++) {
if (n % (i + 1) === 0) {
sqr += nums[i] * nums[i];
}
}
return sqr;
}
}
class Solution {
sumOfSquares(nums: number[]): number {
let n: number = nums.length;
let sqr: number = 0;
for (let i: number = 0; i < n; i++) {
if (n % (i + 1) === 0) {
sqr += nums[i] * nums[i];
}
}
return sqr;
}
}
class Solution:
def sumOfSquares(self, nums: List[int]) -> int:
n = len(nums)
sqr = 0
for i in range(n):
if n % (i + 1) == 0:
sqr += nums[i] * nums[i]
return sqr
public class Solution {
public int sumOfSquares(int[] nums) {
int n = nums.length;
int sqr = 0;
for (int i = 0; i < n; i++) {
if (n % (i + 1) == 0) {
sqr += nums[i] * nums[i];
}
}
return sqr;
}
}
class Solution {
public:
int sumOfSquares(vector<int>& nums) {
int n = nums.size();
int sqr = 0;
for(int i=0; i<n; i++){
if(n%(i+1)==0){
sqr+=nums[i]*nums[i];
}
}
return sqr;
}
};
Complexity Analysis​
- Time Complexity:
- Space Complexity:
- The time complexity is where n is the length of the input array nums. This is because the function iterates through the array once, performing a constant amount of work for each element.
- The space complexity is because we are not using any extra space.