Average Error: 33.7 → 33.7
Time: 2.4s
Precision: binary64
\[\frac{\left(0.75 \cdot x\right) \cdot t}{1.25 - \cos \left(\left(2 \cdot \pi\right) \cdot \left(s + t\right)\right)}\]
↓
\[\frac{\left(0.75 \cdot x\right) \cdot t}{1.25 - \cos \left(\left(2 \cdot \pi\right) \cdot \left(s + t\right)\right)}\]
\frac{\left(0.75 \cdot x\right) \cdot t}{1.25 - \cos \left(\left(2 \cdot \pi\right) \cdot \left(s + t\right)\right)}
↓
\frac{\left(0.75 \cdot x\right) \cdot t}{1.25 - \cos \left(\left(2 \cdot \pi\right) \cdot \left(s + t\right)\right)}
double code(double x, double t, double s) {
	return ((double) (((double) (((double) (0.75 * x)) * t)) / ((double) (1.25 - ((double) cos(((double) (((double) (2.0 * ((double) M_PI))) * ((double) (s + t))))))))));
}
↓
double code(double x, double t, double s) {
	return ((double) (((double) (((double) (0.75 * x)) * t)) / ((double) (1.25 - ((double) cos(((double) (((double) (2.0 * ((double) M_PI))) * ((double) (s + t))))))))));
}

Error

Bits error versus x

Bits error versus t

Bits error versus s

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Derivation

  1. Initial program 33.7

    \[\frac{\left(0.75 \cdot x\right) \cdot t}{1.25 - \cos \left(\left(2 \cdot \pi\right) \cdot \left(s + t\right)\right)}\]

  2. Final simplification33.7

    \[\leadsto \frac{\left(0.75 \cdot x\right) \cdot t}{1.25 - \cos \left(\left(2 \cdot \pi\right) \cdot \left(s + t\right)\right)}\]

Reproduce

herbie shell --seed 2020153 
(FPCore (x t s)
  :name "(/ (* (* 0.75 x) t) (- 1.25 (cos (* (* 2 PI) (+ s t)))))"
  :precision binary64
  (/ (* (* 0.75 x) t) (- 1.25 (cos (* (* 2.0 PI) (+ s t))))))