Average Error: 0.0 → 0.0
Time: 4.7s
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 r20963 = f;
        double r20964 = n;
        double r20965 = r20963 + r20964;
        double r20966 = -r20965;
        double r20967 = r20963 - r20964;
        double r20968 = r20966 / r20967;
        return r20968;
}
↓
double f(double f, double n) {
        double r20969 = f;
        double r20970 = n;
        double r20971 = r20969 + r20970;
        double r20972 = -r20971;
        double r20973 = r20969 - r20970;
        double r20974 = r20972 / r20973;
        return r20974;
}

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 2020047 
(FPCore (f n)
  :name "subtraction fraction"
  :precision binary64
  (/ (- (+ f n)) (- f n)))