Average Error: 7.9 → 7.9
Time: 615.0ms
Precision: binary64
\[\frac{m + t}{1 - t \cdot m}\]
↓
\[\frac{m + t}{1 - t \cdot m}\]
\frac{m + t}{1 - t \cdot m}
↓
\frac{m + t}{1 - t \cdot m}
double code(double m, double t) {
	return ((double) (((double) (m + t)) / ((double) (1.0 - ((double) (t * m))))));
}
↓
double code(double m, double t) {
	return ((double) (((double) (m + t)) / ((double) (1.0 - ((double) (t * m))))));
}

Error

Bits error versus m

Bits error versus t

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Derivation

  1. Initial program 7.9

    \[\frac{m + t}{1 - t \cdot m}\]

  2. Final simplification7.9

    \[\leadsto \frac{m + t}{1 - t \cdot m}\]

Reproduce

herbie shell --seed 2020153 
(FPCore (m t)
  :name "(/ (+ m t) (- 1.0 (* t m)))"
  :precision binary64
  (/ (+ m t) (- 1.0 (* t m))))