The Kahan summation algorithm is an improved way to reduce numerical errors that can occur when adding a sequence of finite precision floating-point numbers. It helps to produce a more accurate sum by keeping track of small errors that are introduced during the addition process.
#include
#include
double kahanSummation(const std::vector& numbers) {
double sum = 0.0; // Running sum
double c = 0.0; // A running compensation for lost low-order bits
for (double number : numbers) {
double y = number - c; // So far, so good: c is zero.
double t = sum + y; // Alas, sum is big, y small, so low-order digits of y are lost.
c = (t - sum) - y; // (t - sum) recovers the high-order part of y; subtracting y recovers the lost low-order part.
sum = t; // Algebraically, c should always be zero.
}
return sum;
}
int main() {
std::vector numbers = { 1e10, 1.0, 1e-10 }; // Example numbers
double result = kahanSummation(numbers);
std::cout << "Kahan Summation Result: " << result << std::endl;
return 0;
}
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