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 it can be efficiently done using the modulo operator.
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 compute their sum. This approach is efficient with a constant time complexity of O(1).
Here is a step-by-step breakdown of the optimized algorithm:
last_two_digits = n % 100
to get the last two digits.last_digit = last_two_digits % 10
to get the last digit.second_last_digit = last_two_digits / 10
to get the second last digit.last_digit
and second_last_digit
.
#include <iostream>
int sumOfLastTwoDigits(int n) {
// Get the last two digits
int last_two_digits = n % 100;
// Get the last digit
int last_digit = last_two_digits % 10;
// Get the second last digit
int second_last_digit = last_two_digits / 10;
// Return the sum of the last two digits
return last_digit + second_last_digit;
}
int main() {
int n = 2379;
std::cout << "Sum of last two digits: " << sumOfLastTwoDigits(n) << std::endl;
return 0;
}
The time complexity of the optimized solution is O(1) because the operations involved (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 correctly by the algorithm as it directly extracts and sums the last two digits.
To test the solution comprehensively, consider the following test cases:
n = 2379
(Expected output: 16)n = 10
(Expected output: 1)n = 99
(Expected output: 18)n = 100
(Expected output: 1)n = 2300
(Expected output: 0)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 algorithm. 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 in programming.
For further reading and practice, consider the following resources: