1 - \frac{1}{2 + \left(2 - \frac{\frac{2}{t}}{1 + \frac{1}{t}}\right) \cdot \left(2 - \frac{\frac{2}{t}}{1 + \frac{1}{t}}\right)}1 - \frac{1}{2 + \frac{\left(2 - \frac{\frac{2}{t}}{1 + \frac{1}{t}}\right) \cdot \left(2 \cdot 2 - \frac{\frac{2}{t}}{1 + \frac{1}{t}} \cdot \frac{\frac{2}{t}}{1 + \frac{1}{t}}\right)}{2 + \frac{\frac{2}{t}}{1 + \frac{1}{t}}}}double f(double t) {
double r41707 = 1.0;
double r41708 = 2.0;
double r41709 = t;
double r41710 = r41708 / r41709;
double r41711 = r41707 / r41709;
double r41712 = r41707 + r41711;
double r41713 = r41710 / r41712;
double r41714 = r41708 - r41713;
double r41715 = r41714 * r41714;
double r41716 = r41708 + r41715;
double r41717 = r41707 / r41716;
double r41718 = r41707 - r41717;
return r41718;
}
double f(double t) {
double r41719 = 1.0;
double r41720 = 2.0;
double r41721 = t;
double r41722 = r41720 / r41721;
double r41723 = r41719 / r41721;
double r41724 = r41719 + r41723;
double r41725 = r41722 / r41724;
double r41726 = r41720 - r41725;
double r41727 = r41720 * r41720;
double r41728 = r41725 * r41725;
double r41729 = r41727 - r41728;
double r41730 = r41726 * r41729;
double r41731 = r41720 + r41725;
double r41732 = r41730 / r41731;
double r41733 = r41720 + r41732;
double r41734 = r41719 / r41733;
double r41735 = r41719 - r41734;
return r41735;
}



Bits error versus t
Results
Initial program 0.0
rmApplied flip--0.0
Applied associate-*r/0.0
Final simplification0.0
herbie shell --seed 2020003 +o rules:numerics
(FPCore (t)
:name "Kahan p13 Example 3"
:precision binary64
(- 1 (/ 1 (+ 2 (* (- 2 (/ (/ 2 t) (+ 1 (/ 1 t)))) (- 2 (/ (/ 2 t) (+ 1 (/ 1 t)))))))))