Average Error: 30.2 → 0.8
Time: 8.5s
Precision: binary64
\[\]
\[\]
double code(double x) {
	return ((double) (((double) (1.0 - ((double) cos(x)))) / ((double) sin(x))));
}
double code(double x) {
	double VAR;
	if ((((double) (((double) (1.0 - ((double) cos(x)))) / ((double) sin(x)))) <= -0.01944362450229807)) {
		VAR = ((double) (((double) (((double) (((double) pow(1.0, 3.0)) - ((double) pow(((double) cos(x)), 3.0)))) / ((double) (((double) (1.0 * 1.0)) + ((double) (((double) cos(x)) * ((double) (1.0 + ((double) cos(x)))))))))) / ((double) sin(x))));
	} else {
		double VAR_1;
		if ((((double) (((double) (1.0 - ((double) cos(x)))) / ((double) sin(x)))) <= 0.0013097483582227686)) {
			VAR_1 = ((double) (((double) (((double) (0.041666666666666664 * ((double) pow(x, 3.0)))) + ((double) (0.004166666666666667 * ((double) pow(x, 5.0)))))) + ((double) (x * 0.5))));
		} else {
			VAR_1 = ((double) log(((double) (((double) exp(((double) (1.0 / ((double) sin(x)))))) / ((double) exp(((double) (((double) cos(x)) / ((double) sin(x))))))))));
		}
		VAR = VAR_1;
	}
	return VAR;
}

Error

Bits error versus x

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Target

Original30.2
Target0.0
Herbie0.8
\[\]

Derivation

  1. Split input into 3 regimes
  2. if (/ (- 1.0 (cos x)) (sin x)) < -0.019443624502298071

    1. Initial program 0.8

      \[\]
    2. Using strategy rm
    3. Applied flip3--0.9

      \[\leadsto \]
    4. Simplified0.9

      \[\leadsto \]

    if -0.019443624502298071 < (/ (- 1.0 (cos x)) (sin x)) < 0.0013097483582227686

    1. Initial program 59.5

      \[\]
    2. Taylor expanded around 0 0.5

      \[\leadsto \]
    3. Simplified0.5

      \[\leadsto \]
    4. Using strategy rm
    5. Applied associate-+r+0.5

      \[\leadsto \]

    if 0.0013097483582227686 < (/ (- 1.0 (cos x)) (sin x))

    1. Initial program 0.9

      \[\]
    2. Using strategy rm
    3. Applied add-log-exp1.1

      \[\leadsto \]
    4. Using strategy rm
    5. Applied div-sub1.3

      \[\leadsto \]
    6. Applied exp-diff1.4

      \[\leadsto \]
  3. Recombined 3 regimes into one program.
  4. Final simplification0.8

    \[\leadsto \]

Reproduce

herbie shell --seed 2020181 
(FPCore (x)
  :name "tanhf (example 3.4)"
  :precision binary64
  :herbie-expected 2

  :herbie-target
  (tan (/ x 2.0))

  (/ (- 1.0 (cos x)) (sin x)))