\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{\frac{\mathsf{fma}\left(\frac{2 \cdot t}{1 + t}, \frac{2 \cdot t}{1 + t}, 1\right)}{\mathsf{fma}\left(\frac{2}{1 + t}, t \cdot \frac{t}{1 + t}, 1\right)}}{2}double code(double t) {
return ((double) (((double) (1.0 + ((double) (((double) (((double) (2.0 * t)) / ((double) (1.0 + t)))) * ((double) (((double) (2.0 * t)) / ((double) (1.0 + t)))))))) / ((double) (2.0 + ((double) (((double) (((double) (2.0 * t)) / ((double) (1.0 + t)))) * ((double) (((double) (2.0 * t)) / ((double) (1.0 + t))))))))));
}
double code(double t) {
return ((double) (((double) (((double) fma(((double) (((double) (2.0 * t)) / ((double) (1.0 + t)))), ((double) (((double) (2.0 * t)) / ((double) (1.0 + t)))), 1.0)) / ((double) fma(((double) (2.0 / ((double) (1.0 + t)))), ((double) (t * ((double) (t / ((double) (1.0 + t)))))), 1.0)))) / 2.0));
}



Bits error versus t
Results
Initial program 0.0
Simplified0.0
Final simplification0.0
herbie shell --seed 2020120 +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))))))