Average Error: 31.6 → 0.0
Time: 12.1s
Precision: binary64
\[\]
↓
\[\]
↓
double code(double x) {
	return (x - sin(x)) / (x - tan(x));
}

↓
double code(double x) {
	double tmp;
	if ((x <= -0.026395687002885145) || !(x <= 0.027677485715175896)) {
		tmp = 1.0 / ((x - tan(x)) / (x - sin(x)));
	} else {
		tmp = ((x * x) * 0.225) - (0.5 + (0.009642857142857142 * pow(x, 4.0)));
	}
	return tmp;
}

Error
Bits error versus x
Try it out
Your Program's Arguments
Results
Enter valid numbers for all inputs
Derivation
  1. Split input into 2 regimes
  2. if  x  < -0.026395687002885145 or 0.0276774857151758959 <  x 
    1. Initial program 0.0
      \[\]
    2. Using strategy rm
    3. Applied clear-num0.1
      \[\leadsto \]
    if -0.026395687002885145 <  x  < 0.0276774857151758959
    1. Initial program 63.2
      \[\]
    2. Taylor expanded around 0 0.0
      \[\leadsto \]
    3. Simplified0.0
      \[\leadsto \]
  3. Recombined 2 regimes into one program.
  4. Final simplification0.0
    \[\leadsto \]
Reproduce
herbie shell --seed 2020338 
(FPCore (x)
  :name "sintan (problem 3.4.5)"
  :precision binary64
  (/ (- x (sin x)) (- x (tan x))))