Average Error: 0.0 → 0.0
Time: 19.6s
Precision: 64
\[\frac{-\left(f + n\right)}{f - n}\]
↓
\[\frac{-\left(f + n\right)}{f - n}\]
\frac{-\left(f + n\right)}{f - n}
↓
\frac{-\left(f + n\right)}{f - n}
double f(double f, double n) {
        double r32397 = f;
        double r32398 = n;
        double r32399 = r32397 + r32398;
        double r32400 = -r32399;
        double r32401 = r32397 - r32398;
        double r32402 = r32400 / r32401;
        return r32402;
}
↓
double f(double f, double n) {
        double r32403 = f;
        double r32404 = n;
        double r32405 = r32403 + r32404;
        double r32406 = -r32405;
        double r32407 = r32403 - r32404;
        double r32408 = r32406 / r32407;
        return r32408;
}

Error

Bits error versus f

Bits error versus n

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Derivation

  1. Initial program 0.0

    \[\frac{-\left(f + n\right)}{f - n}\]

  2. Final simplification0.0

    \[\leadsto \frac{-\left(f + n\right)}{f - n}\]

Reproduce

herbie shell --seed 2019347 
(FPCore (f n)
  :name "subtraction fraction"
  :precision binary64
  (/ (- (+ f n)) (- f n)))