\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}}
\begin{array}{l}
t_1 := t \cdot \frac{4}{2 + \left(t + \frac{1}{t}\right)}\\
\frac{1 + \log \left(e^{t_1}\right)}{2 + t_1}
\end{array}
(FPCore (t) :precision binary64 (/ (+ 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))))))
(FPCore (t) :precision binary64 (let* ((t_1 (* t (/ 4.0 (+ 2.0 (+ t (/ 1.0 t))))))) (/ (+ 1.0 (log (exp t_1))) (+ 2.0 t_1))))
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) {
double t_1 = t * (4.0 / (2.0 + (t + (1.0 / t))));
return (1.0 + log(exp(t_1))) / (2.0 + t_1);
}



Bits error versus t
Results
Initial program 0.0
Simplified0.0
rmApplied add-log-exp_binary640.0
Final simplification0.0
herbie shell --seed 2021205
(FPCore (t)
:name "Kahan p13 Example 1"
:precision binary64
(/ (+ 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))))))