Understanding Precision Issues in Integer Math with std::pow
When performing integer arithmetic operations with std::pow(), programmers may encounter unexpected results. This is because std::pow() natively works with floating point numbers, which introduces potential issues due to finite precision.
Consider the following example:
#include <iostream> #include <cmath> int main() { int i = 23; int j = 1; int base = 10; int k = 2; i += j * pow(base, k); std::cout << i << std::endl; }
This code attempts to calculate the value of i as 23 1 * 10^2. However, the output is "122" instead of the expected "123." This is because std::pow() operates on floating point numbers, which may result in small inaccuracies in the computed result.
To resolve this issue, it is preferable to use an integer-specific pow function that ensures precise integer-based calculations. One way to achieve this is by creating a custom pow function that performs integer multiplication recursively:
constexpr int int_pow(int b, int e) { return (e == 0) ? 1 : b * int_pow(b, e - 1); }
This custom function ensures accurate integer calculations without the potential precision issues associated with floating point arithmetic.
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