\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{\mathsf{fma}\left(\frac{2 \cdot t}{1 + t}, \frac{2 \cdot t}{1 + t}, 1\right)}{\mathsf{fma}\left(\frac{2 \cdot t}{1 + t}, \frac{2 \cdot t}{1 + t}, 2\right)}double f(double t) {
double r53070 = 1.0;
double r53071 = 2.0;
double r53072 = t;
double r53073 = r53071 * r53072;
double r53074 = r53070 + r53072;
double r53075 = r53073 / r53074;
double r53076 = r53075 * r53075;
double r53077 = r53070 + r53076;
double r53078 = r53071 + r53076;
double r53079 = r53077 / r53078;
return r53079;
}
double f(double t) {
double r53080 = 2.0;
double r53081 = t;
double r53082 = r53080 * r53081;
double r53083 = 1.0;
double r53084 = r53083 + r53081;
double r53085 = r53082 / r53084;
double r53086 = fma(r53085, r53085, r53083);
double r53087 = fma(r53085, r53085, r53080);
double r53088 = r53086 / r53087;
return r53088;
}



Bits error versus t
Initial program 0.0
Simplified0.0
Final simplification0.0
herbie shell --seed 2019323 +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))))))