Given a non-negative integer n with at least two digits, compute and return the sum of the last two digits
Example:
Input: n = 2379 Output: 16 Explanation: Last two digits of n are 7 and 9, so our answer is 7 + 9 = 16
The core challenge of this problem is to extract the last two digits of a given number and compute their sum. This problem is significant in various applications such as checksum calculations, digital root computations, and more. A common pitfall is to overcomplicate the extraction of the last two digits, but with the right approach, it can be simplified.
To solve this problem, we can use the modulo operator to extract the last two digits of the number. Here's a step-by-step approach:
A naive solution might involve converting the number to a string, extracting the last two characters, converting them back to integers, and summing them. However, this approach is not optimal due to the overhead of string operations.
The optimized solution leverages the modulo operator to directly extract the last two digits and perform arithmetic operations. This approach is efficient and has a constant time complexity of O(1).
n % 100
.lastTwoDigits % 10
.Math.floor(lastTwoDigits / 10)
./**
* Function to compute the sum of the last two digits of a given number
* @param {number} n - A non-negative integer with at least two digits
* @returns {number} - Sum of the last two digits
*/
function sumLastTwoDigits(n) {
// Get the last two digits
const lastTwoDigits = n % 100;
// Extract the last digit
const lastDigit = lastTwoDigits % 10;
// Extract the second last digit
const secondLastDigit = Math.floor(lastTwoDigits / 10);
// Return the sum of the last two digits
return lastDigit + secondLastDigit;
}
// Example usage
const n = 2379;
console.log(sumLastTwoDigits(n)); // Output: 16
The time complexity of this solution is O(1) because the operations performed (modulo and division) are constant time operations. The space complexity is also O(1) as we are using a fixed amount of extra space.
Potential edge cases include:
Each of these cases is handled effectively by the algorithm.
To test the solution comprehensively, consider the following test cases:
console.log(sumLastTwoDigits(2379)); // Output: 16 console.log(sumLastTwoDigits(10)); // Output: 1 console.log(sumLastTwoDigits(100)); // Output: 0 console.log(sumLastTwoDigits(2300)); // Output: 0 console.log(sumLastTwoDigits(99)); // Output: 18
When approaching such problems, consider the following tips:
In this blog post, we discussed how to compute the sum of the last two digits of a given number using an efficient approach. We covered the problem definition, approach, algorithm, code implementation, complexity analysis, edge cases, and testing. Understanding and solving such problems is crucial for developing strong problem-solving skills.
For further reading and practice, consider the following resources: