Average Error: 16.8 → 13.8
Time: 3.9s
Precision: 64
\[\frac{x + \frac{y \cdot z}{t}}{\left(a + 1\right) + \frac{y \cdot b}{t}}\]
\[\begin{array}{l} \mathbf{if}\;z \le -4.4005240874132211 \cdot 10^{-116} \lor \neg \left(z \le 1.12880810670166501 \cdot 10^{-262}\right):\\ \;\;\;\;\frac{x + \frac{1}{\frac{\frac{t}{y}}{z}}}{\left(a + 1\right) + \frac{y}{t} \cdot b}\\ \mathbf{else}:\\ \;\;\;\;\frac{x + y \cdot \frac{z}{t}}{\left(a + 1\right) + \frac{y \cdot b}{t}}\\ \end{array}\]
\frac{x + \frac{y \cdot z}{t}}{\left(a + 1\right) + \frac{y \cdot b}{t}}
\begin{array}{l}
\mathbf{if}\;z \le -4.4005240874132211 \cdot 10^{-116} \lor \neg \left(z \le 1.12880810670166501 \cdot 10^{-262}\right):\\
\;\;\;\;\frac{x + \frac{1}{\frac{\frac{t}{y}}{z}}}{\left(a + 1\right) + \frac{y}{t} \cdot b}\\

\mathbf{else}:\\
\;\;\;\;\frac{x + y \cdot \frac{z}{t}}{\left(a + 1\right) + \frac{y \cdot b}{t}}\\

\end{array}
double f(double x, double y, double z, double t, double a, double b) {
        double r698630 = x;
        double r698631 = y;
        double r698632 = z;
        double r698633 = r698631 * r698632;
        double r698634 = t;
        double r698635 = r698633 / r698634;
        double r698636 = r698630 + r698635;
        double r698637 = a;
        double r698638 = 1.0;
        double r698639 = r698637 + r698638;
        double r698640 = b;
        double r698641 = r698631 * r698640;
        double r698642 = r698641 / r698634;
        double r698643 = r698639 + r698642;
        double r698644 = r698636 / r698643;
        return r698644;
}

double f(double x, double y, double z, double t, double a, double b) {
        double r698645 = z;
        double r698646 = -4.400524087413221e-116;
        bool r698647 = r698645 <= r698646;
        double r698648 = 1.128808106701665e-262;
        bool r698649 = r698645 <= r698648;
        double r698650 = !r698649;
        bool r698651 = r698647 || r698650;
        double r698652 = x;
        double r698653 = 1.0;
        double r698654 = t;
        double r698655 = y;
        double r698656 = r698654 / r698655;
        double r698657 = r698656 / r698645;
        double r698658 = r698653 / r698657;
        double r698659 = r698652 + r698658;
        double r698660 = a;
        double r698661 = 1.0;
        double r698662 = r698660 + r698661;
        double r698663 = r698655 / r698654;
        double r698664 = b;
        double r698665 = r698663 * r698664;
        double r698666 = r698662 + r698665;
        double r698667 = r698659 / r698666;
        double r698668 = r698645 / r698654;
        double r698669 = r698655 * r698668;
        double r698670 = r698652 + r698669;
        double r698671 = r698655 * r698664;
        double r698672 = r698671 / r698654;
        double r698673 = r698662 + r698672;
        double r698674 = r698670 / r698673;
        double r698675 = r698651 ? r698667 : r698674;
        return r698675;
}

Error

Bits error versus x

Bits error versus y

Bits error versus z

Bits error versus t

Bits error versus a

Bits error versus b

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Target

Original16.8
Target13.6
Herbie13.8
\[\begin{array}{l} \mathbf{if}\;t \lt -1.3659085366310088 \cdot 10^{-271}:\\ \;\;\;\;1 \cdot \left(\left(x + \frac{y}{t} \cdot z\right) \cdot \frac{1}{\left(a + 1\right) + \frac{y}{t} \cdot b}\right)\\ \mathbf{elif}\;t \lt 3.0369671037372459 \cdot 10^{-130}:\\ \;\;\;\;\frac{z}{b}\\ \mathbf{else}:\\ \;\;\;\;1 \cdot \left(\left(x + \frac{y}{t} \cdot z\right) \cdot \frac{1}{\left(a + 1\right) + \frac{y}{t} \cdot b}\right)\\ \end{array}\]

Derivation

  1. Split input into 2 regimes
  2. if z < -4.400524087413221e-116 or 1.128808106701665e-262 < z

    1. Initial program 19.3

      \[\frac{x + \frac{y \cdot z}{t}}{\left(a + 1\right) + \frac{y \cdot b}{t}}\]
    2. Using strategy rm
    3. Applied associate-/l*19.7

      \[\leadsto \frac{x + \frac{y \cdot z}{t}}{\left(a + 1\right) + \color{blue}{\frac{y}{\frac{t}{b}}}}\]
    4. Using strategy rm
    5. Applied associate-/r/18.4

      \[\leadsto \frac{x + \frac{y \cdot z}{t}}{\left(a + 1\right) + \color{blue}{\frac{y}{t} \cdot b}}\]
    6. Using strategy rm
    7. Applied clear-num18.4

      \[\leadsto \frac{x + \color{blue}{\frac{1}{\frac{t}{y \cdot z}}}}{\left(a + 1\right) + \frac{y}{t} \cdot b}\]
    8. Using strategy rm
    9. Applied associate-/r*15.6

      \[\leadsto \frac{x + \frac{1}{\color{blue}{\frac{\frac{t}{y}}{z}}}}{\left(a + 1\right) + \frac{y}{t} \cdot b}\]

    if -4.400524087413221e-116 < z < 1.128808106701665e-262

    1. Initial program 7.4

      \[\frac{x + \frac{y \cdot z}{t}}{\left(a + 1\right) + \frac{y \cdot b}{t}}\]
    2. Using strategy rm
    3. Applied *-un-lft-identity7.4

      \[\leadsto \frac{x + \frac{y \cdot z}{\color{blue}{1 \cdot t}}}{\left(a + 1\right) + \frac{y \cdot b}{t}}\]
    4. Applied times-frac7.1

      \[\leadsto \frac{x + \color{blue}{\frac{y}{1} \cdot \frac{z}{t}}}{\left(a + 1\right) + \frac{y \cdot b}{t}}\]
    5. Simplified7.1

      \[\leadsto \frac{x + \color{blue}{y} \cdot \frac{z}{t}}{\left(a + 1\right) + \frac{y \cdot b}{t}}\]
  3. Recombined 2 regimes into one program.
  4. Final simplification13.8

    \[\leadsto \begin{array}{l} \mathbf{if}\;z \le -4.4005240874132211 \cdot 10^{-116} \lor \neg \left(z \le 1.12880810670166501 \cdot 10^{-262}\right):\\ \;\;\;\;\frac{x + \frac{1}{\frac{\frac{t}{y}}{z}}}{\left(a + 1\right) + \frac{y}{t} \cdot b}\\ \mathbf{else}:\\ \;\;\;\;\frac{x + y \cdot \frac{z}{t}}{\left(a + 1\right) + \frac{y \cdot b}{t}}\\ \end{array}\]

Reproduce

herbie shell --seed 2020060 
(FPCore (x y z t a b)
  :name "Diagrams.Solve.Tridiagonal:solveCyclicTriDiagonal from diagrams-solve-0.1, B"
  :precision binary64

  :herbie-target
  (if (< t -1.3659085366310088e-271) (* 1 (* (+ x (* (/ y t) z)) (/ 1 (+ (+ a 1) (* (/ y t) b))))) (if (< t 3.036967103737246e-130) (/ z b) (* 1 (* (+ x (* (/ y t) z)) (/ 1 (+ (+ a 1) (* (/ y t) b)))))))

  (/ (+ x (/ (* y z) t)) (+ (+ a 1) (/ (* y b) t))))