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}{\mathsf{fma}\left(2 - \frac{2}{1 + t}, 2 - \frac{\sqrt{2}}{\frac{1 + t}{\sqrt{2}}}, 2\right)}double f(double t) {
double r962715 = 1.0;
double r962716 = 2.0;
double r962717 = t;
double r962718 = r962716 / r962717;
double r962719 = r962715 / r962717;
double r962720 = r962715 + r962719;
double r962721 = r962718 / r962720;
double r962722 = r962716 - r962721;
double r962723 = r962722 * r962722;
double r962724 = r962716 + r962723;
double r962725 = r962715 / r962724;
double r962726 = r962715 - r962725;
return r962726;
}
double f(double t) {
double r962727 = 1.0;
double r962728 = 2.0;
double r962729 = t;
double r962730 = r962727 + r962729;
double r962731 = r962728 / r962730;
double r962732 = r962728 - r962731;
double r962733 = sqrt(r962728);
double r962734 = r962730 / r962733;
double r962735 = r962733 / r962734;
double r962736 = r962728 - r962735;
double r962737 = fma(r962732, r962736, r962728);
double r962738 = r962727 / r962737;
double r962739 = r962727 - r962738;
return r962739;
}



Bits error versus t
Initial program 0.0
Simplified0.0
rmApplied add-sqr-sqrt0.0
Applied associate-/l*0.0
Final simplification0.0
herbie shell --seed 2019151 +o rules:numerics
(FPCore (t)
:name "Kahan p13 Example 3"
(- 1 (/ 1 (+ 2 (* (- 2 (/ (/ 2 t) (+ 1 (/ 1 t)))) (- 2 (/ (/ 2 t) (+ 1 (/ 1 t)))))))))