\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 r58520 = 1.0;
double r58521 = 2.0;
double r58522 = t;
double r58523 = r58521 * r58522;
double r58524 = r58520 + r58522;
double r58525 = r58523 / r58524;
double r58526 = r58525 * r58525;
double r58527 = r58520 + r58526;
double r58528 = r58521 + r58526;
double r58529 = r58527 / r58528;
return r58529;
}
double f(double t) {
double r58530 = 2.0;
double r58531 = t;
double r58532 = r58530 * r58531;
double r58533 = 1.0;
double r58534 = r58533 + r58531;
double r58535 = r58532 / r58534;
double r58536 = fma(r58535, r58535, r58533);
double r58537 = fma(r58535, r58535, r58530);
double r58538 = r58536 / r58537;
return r58538;
}



Bits error versus t
Initial program 0.0
Simplified0.0
Final simplification0.0
herbie shell --seed 2019303 +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))))))