
Problem Statement
In this task, you are required to compute the sum of two given integers ( a ) and ( b ). However, the challenge lies in the fact that you cannot use the traditional addition (+) and subtraction (-) operators directly to achieve the result. This condition necessitates the exploration of alternative computational techniques to perform the addition.
Examples
Example 1
Input:
a = 1, b = 2
Output:
3
Example 2
Input:
a = 2, b = 3
Output:
5
Constraints
-1000 <= a, b <= 1000
Approach and Intuition
The primary goal is to sum two integers without using the explicit addition or subtraction operators. Here's a logical approach using bitwise operations, a common method for such constraints.
Bitwise XOR (^) Operation: This operation can be used to add two numbers without carrying any of the bits over. For two bits, XOR outputs 1 if the bits are different; this mirrors addition without carry.
Bitwise AND (&) Operation: AND operation helps in determining which bits will carry over. It returns 1 only if both bits at the same position are 1. The result of this operation is then shifted left by one position to align the carry with the correct position for addition.
Iteration until Carry is Zero: The process of XOR-ing the numbers and determining the carry (using AND) is repeated until there is no carry left. Typically, this involves:
- Keeping track of the initial numbers as
xandy, wherexis the XOR result, andyis the shifted AND result. Initially,x = aandy = b. - Updating
xtox ^ y(addition without carry) andyto(x & y) << 1(calculate carry, shifted to correct position). - This loop continues until
ybecomes zero. At this point,xcontains the final sum.
- Keeping track of the initial numbers as
From the examples:
- Example 1: For
a = 1andb = 2, bitwise sum without direct addition results in 3, as there's no overlap in bit positions. - Example 2: Following the bitwise logic with
a = 2andb = 3also correctly gives 5 without using direct addition.
This approach functions correctly within the constraints (-1000 <= a, b <= 1000) and ensures that the summation is achieved purely through bitwise manipulation.
Solutions
- C++
- Java
- Python
class Solution {
public:
int calculateSum(int x, int y) {
long limit = 0xFFFFFFFF;
while (y != 0) {
int sum = (x ^ y) & limit;
int carry = ((x & y) & limit) << 1;
x = sum;
y = carry;
}
return x < INT_MAX ? x : ~(x ^ limit);
}
};
This C++ solution involves a function calculateSum that adds two integers without using the '+' operator. This approach utilizes bitwise operations: XOR for summing bits without carrying and AND for determining bit carry, which is then shifted left. The solution handles edge cases with proper sign representation by incorporating a 32-bit limit mask.
Here's how the function operates:
Define a
limitvariable (mask) to control integer overflow, ensuring compatibility with 32-bit integer operations.Use a
whileloop to perform the addition as long as there is a carry-over (y!= 0). Inside the loop:Compute the 'sum' of
xandyusing XOR, applying thelimitto handle overflow.Determine the 'carry', which is bits carried over to the next higher bit, again applying the
limitfor overflow and then shifting left by one (<< 1) to align correctly for the next iteration of addition.Update
xwith the 'sum' andywith the 'carry' for the next iteration.
After exiting the loop (meaning no more carry bits), return
x. Ifxexceeds the highest positive value representable in an integer, adjust it using bitwise operations to correct the sign.
This method effectively handles integer addition efficiently, providing a means to perform arithmetic operations at a lower level, simulating how processors might handle such tasks. The use of the limit ensures that the function works correctly across different compiler implementations that may handle integer sizes and overflows differently.
class Solution {
public int sum(int x, int y) {
while (y != 0) {
int temp = x ^ y;
int carryOver = (x & y) << 1;
x = temp;
y = carryOver;
}
return x;
}
}
This Java implementation calculates the sum of two integers without using arithmetic operators. It employs bitwise operators to achieve the addition. During each iteration of the while loop, two operations occur:
- The main addition without carry is performed by XOR
(^)betweenxandy. - The carry-over, which needs to be added in the subsequent iteration, is calculated using the AND
(&)operation followed by a left shift(<<)by one position.
The process repeats, updating x with the new temporary sum and y with the new carry, until there's no carry left (y becomes 0). At that point, x contains the final sum, which is then returned.
This method effectively mimics the addition process in digital logic circuits, leveraging the properties of bitwise operations to simulate how hardware-based addition works at the bit level.
class Solution:
def sumTwo(self, x: int, y: int) -> int:
full_mask = 0xFFFFFFFF
while y != 0:
x, y = (x ^ y) & full_mask, ((x & y) << 1) & full_mask
max_positive = 0x7FFFFFFF
return x if x < max_positive else ~(x ^ full_mask)
In this Python3 solution, the algorithm calculates the sum of two integers, x and y, without using the + or - operators, emulating the addition process using bitwise operations.
- A
full_maskvalue of0xFFFFFFFFis used to handle the 32-bit integer overflow. Bitwise AND operation with this mask ensures that the value simulates a 32-bit signed integer. - The main loop continues until
ybecomes zero. Inside the loop:- The XOR operation
x ^ ycalculates the sum without carrying bits. - The AND operation followed by shifting left
(x & y) << 1calculates the carry bits. - Both results are combined using the tuple packing method to update
xandysimultaneously, applying thefull_maskto both to maintain the 32-bit constraint.
- The XOR operation
- After exiting the loop, if the final result in
xis less than0x7FFFFFFF(the maximum positive value for a 32-bit signed integer), it directly returnsx. - If
xexceeds0x7FFFFFFF, the function adjusts it by calculating~(x ^ full_mask)to correct the interpretation of the number as a signed integer.
This method simulates the addition using logical bit operations, ensuring compatibility with systems where direct integer arithmetic may not be desired or applicable.