\frac{1 + \frac{2 \cdot t}{1 + t} \cdot \frac{2 \cdot t}{1 + t}}{2 + \frac{2 \cdot t}{1 + t} \cdot \frac{2 \cdot t}{1 + t}}\frac{{1}^{3} + {\left(\frac{2 \cdot t}{1 + t} \cdot \frac{2 \cdot t}{1 + t}\right)}^{3}}{\left(\left(\frac{2 \cdot t}{1 + t} \cdot \frac{2 \cdot t}{1 + t}\right) \cdot \left(\frac{2 \cdot t}{1 + t} \cdot \frac{2 \cdot t}{1 + t} - 1\right) + 1 \cdot 1\right) \cdot \left(2 + \frac{2 \cdot t}{1 + t} \cdot \frac{2 \cdot t}{1 + t}\right)}double f(double t) {
double r79791 = 1.0;
double r79792 = 2.0;
double r79793 = t;
double r79794 = r79792 * r79793;
double r79795 = r79791 + r79793;
double r79796 = r79794 / r79795;
double r79797 = r79796 * r79796;
double r79798 = r79791 + r79797;
double r79799 = r79792 + r79797;
double r79800 = r79798 / r79799;
return r79800;
}
double f(double t) {
double r79801 = 1.0;
double r79802 = 3.0;
double r79803 = pow(r79801, r79802);
double r79804 = 2.0;
double r79805 = t;
double r79806 = r79804 * r79805;
double r79807 = r79801 + r79805;
double r79808 = r79806 / r79807;
double r79809 = r79808 * r79808;
double r79810 = pow(r79809, r79802);
double r79811 = r79803 + r79810;
double r79812 = r79809 - r79801;
double r79813 = r79809 * r79812;
double r79814 = r79801 * r79801;
double r79815 = r79813 + r79814;
double r79816 = r79804 + r79809;
double r79817 = r79815 * r79816;
double r79818 = r79811 / r79817;
return r79818;
}



Bits error versus t
Results
Initial program 0.1
rmApplied flip3-+0.1
Applied associate-/l/0.1
Simplified0.1
Final simplification0.1
herbie shell --seed 2020100 +o rules:numerics
(FPCore (t)
:name "Kahan p13 Example 1"
:precision binary64
(/ (+ 1 (* (/ (* 2 t) (+ 1 t)) (/ (* 2 t) (+ 1 t)))) (+ 2 (* (/ (* 2 t) (+ 1 t)) (/ (* 2 t) (+ 1 t))))))