\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 code(double t) {
return ((1.0 + (((2.0 * t) / (1.0 + t)) * ((2.0 * t) / (1.0 + t)))) / (2.0 + (((2.0 * t) / (1.0 + t)) * ((2.0 * t) / (1.0 + t)))));
}
double code(double t) {
return (fma(((2.0 * t) / (1.0 + t)), ((2.0 * t) / (1.0 + t)), 1.0) / fma(((2.0 * t) / (1.0 + t)), ((2.0 * t) / (1.0 + t)), 2.0));
}



Bits error versus t
Results
Initial program 0.0
rmApplied *-un-lft-identity0.0
Applied *-un-lft-identity0.0
Applied times-frac0.0
Simplified0.0
Simplified0.0
Final simplification0.0
herbie shell --seed 2020092 +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))))))