\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 r28253 = 1.0;
double r28254 = 2.0;
double r28255 = t;
double r28256 = r28254 * r28255;
double r28257 = r28253 + r28255;
double r28258 = r28256 / r28257;
double r28259 = r28258 * r28258;
double r28260 = r28253 + r28259;
double r28261 = r28254 + r28259;
double r28262 = r28260 / r28261;
return r28262;
}
double f(double t) {
double r28263 = 2.0;
double r28264 = t;
double r28265 = r28263 * r28264;
double r28266 = 1.0;
double r28267 = r28266 + r28264;
double r28268 = r28265 / r28267;
double r28269 = fma(r28268, r28268, r28266);
double r28270 = fma(r28268, r28268, r28263);
double r28271 = r28269 / r28270;
return r28271;
}



Bits error versus t
Initial program 0.1
Simplified0.1
Final simplification0.1
herbie shell --seed 2019322 +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))))))