x + \left(\tan \left(y + z\right) - \tan a\right)
x + \frac{\left(\tan y + \tan z\right) \cdot \cos a - \left(1 - \tan y \cdot \tan z\right) \cdot \sin a}{\left(1 - \log \left(e^{\tan y \cdot \tan z}\right)\right) \cdot \cos a}double f(double x, double y, double z, double a) {
double r165473 = x;
double r165474 = y;
double r165475 = z;
double r165476 = r165474 + r165475;
double r165477 = tan(r165476);
double r165478 = a;
double r165479 = tan(r165478);
double r165480 = r165477 - r165479;
double r165481 = r165473 + r165480;
return r165481;
}
double f(double x, double y, double z, double a) {
double r165482 = x;
double r165483 = y;
double r165484 = tan(r165483);
double r165485 = z;
double r165486 = tan(r165485);
double r165487 = r165484 + r165486;
double r165488 = a;
double r165489 = cos(r165488);
double r165490 = r165487 * r165489;
double r165491 = 1.0;
double r165492 = r165484 * r165486;
double r165493 = r165491 - r165492;
double r165494 = sin(r165488);
double r165495 = r165493 * r165494;
double r165496 = r165490 - r165495;
double r165497 = exp(r165492);
double r165498 = log(r165497);
double r165499 = r165491 - r165498;
double r165500 = r165499 * r165489;
double r165501 = r165496 / r165500;
double r165502 = r165482 + r165501;
return r165502;
}



Bits error versus x



Bits error versus y



Bits error versus z



Bits error versus a
Results
Initial program 13.1
rmApplied tan-quot13.1
Applied tan-sum0.2
Applied frac-sub0.2
rmApplied add-log-exp0.3
Final simplification0.3
herbie shell --seed 2020049
(FPCore (x y z a)
:name "(+ x (- (tan (+ y z)) (tan a)))"
:precision binary64
:pre (and (or (== x 0.0) (<= 0.5884142 x 505.5909)) (or (<= -1.796658e+308 y -9.425585e-310) (<= 1.284938e-309 y 1.7512240000000001e+308)) (or (<= -1.7767070000000002e+308 z -8.599796e-310) (<= 3.293145e-311 z 1.725154e+308)) (or (<= -1.796658e+308 a -9.425585e-310) (<= 1.284938e-309 a 1.7512240000000001e+308)))
(+ x (- (tan (+ y z)) (tan a))))