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Count Operations to Obtain Zero

Problem Description​

You are given two non-negative integers num1 and num2.

In one operation, if num1 >= num2, you must subtract num2 from num1, otherwise subtract num1 from num2.

For example, if num1 = 5 and num2 = 4, subtract num2 from num1, thus obtaining num1 = 1 and num2 = 4. However, if num1 = 4 and num2 = 5, after one operation, num1 = 4 and num2 = 1. Return the number of operations required to make either num1 = 0 or num2 = 0.

Example​

Example 1:

Input: num1 = 2, num2 = 3
Output: 3
Explanation:
- Operation 1: num1 = 2, num2 = 3. Since num1 < num2, we subtract num1 from num2 and get num1 = 2, num2 = 3 - 2 = 1.
- Operation 2: num1 = 2, num2 = 1. Since num1 > num2, we subtract num2 from num1.
- Operation 3: num1 = 1, num2 = 1. Since num1 == num2, we subtract num2 from num1.
Now num1 = 0 and num2 = 1. Since num1 == 0, we do not need to perform any further operations.
So the total number of operations required is 3.

Example 2:

Input: num1 = 10, num2 = 10
Output: 1
Explanation:
- Operation 1: num1 = 10, num2 = 10. Since num1 == num2, we subtract num2 from num1 and get num1 = 10 - 10 = 0.
Now num1 = 0 and num2 = 10. Since num1 == 0, we are done.
So the total number of operations required is 1.

Constraints​

  • 0 <= num1, num2 <= 105

Solution Approach​

Intuition:​

To efficiently Count Operations to Obtain Zero

Solution Implementation​

Code In Different Languages:​

Written by @Ishitamukherjee2004
 
class Solution {
countOperations(num1, num2) {
let cnt = 0;
while(num1 !== 0 && num2 !== 0){
if(num1 >= num2){
cnt += Math.floor(num1 / num2);
num1 = num1 % num2;
} else {
cnt += Math.floor(num2 / num1);
num2 = num2 % num1;
}
}
return cnt;
}
}



Complexity Analysis​

  • Time Complexity: O(log(max(num1,num2)))O(log(max(num1, num2)))
  • Space Complexity: O(1)O(1)
  • The time complexity is O(log(max(num1,num2)))O(log(max(num1, num2))), where num1 and num2 are the input numbers. This is because in each iteration, the larger number is reduced by a factor of at least 2 (due to the division and modulo operations).
  • The space complexity is O(1)O(1) because we are not using any extra space.