Average Error: 16.5 → 14.0
Time: 6.1s
Precision: 64
\[\frac{x + \frac{y \cdot z}{t}}{\left(a + 1\right) + \frac{y \cdot b}{t}}\]
\[\begin{array}{l} \mathbf{if}\;z \le -3.5472664252508322 \cdot 10^{-9} \lor \neg \left(z \le 2.45143159650892174 \cdot 10^{-200}\right):\\ \;\;\;\;\frac{x + \frac{z}{\frac{t}{y}}}{\left(a + 1\right) + \frac{b}{\frac{t}{y}}}\\ \mathbf{else}:\\ \;\;\;\;1 \cdot \frac{\mathsf{fma}\left(\frac{z}{t}, y, x\right)}{\mathsf{fma}\left(\frac{b}{t}, y, a + 1\right)}\\ \end{array}\]
\frac{x + \frac{y \cdot z}{t}}{\left(a + 1\right) + \frac{y \cdot b}{t}}
\begin{array}{l}
\mathbf{if}\;z \le -3.5472664252508322 \cdot 10^{-9} \lor \neg \left(z \le 2.45143159650892174 \cdot 10^{-200}\right):\\
\;\;\;\;\frac{x + \frac{z}{\frac{t}{y}}}{\left(a + 1\right) + \frac{b}{\frac{t}{y}}}\\

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

\end{array}
double code(double x, double y, double z, double t, double a, double b) {
	return ((x + ((y * z) / t)) / ((a + 1.0) + ((y * b) / t)));
}
double code(double x, double y, double z, double t, double a, double b) {
	double temp;
	if (((z <= -3.547266425250832e-09) || !(z <= 2.4514315965089217e-200))) {
		temp = ((x + (z / (t / y))) / ((a + 1.0) + (b / (t / y))));
	} else {
		temp = (1.0 * (fma((z / t), y, x) / fma((b / t), y, (a + 1.0))));
	}
	return temp;
}

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

Original16.5
Target13.2
Herbie14.0
\[\begin{array}{l} \mathbf{if}\;t \lt -1.3659085366310088 \cdot 10^{-271}:\\ \;\;\;\;1 \cdot \left(\left(x + \frac{y}{t} \cdot z\right) \cdot \frac{1}{\left(a + 1\right) + \frac{y}{t} \cdot b}\right)\\ \mathbf{elif}\;t \lt 3.0369671037372459 \cdot 10^{-130}:\\ \;\;\;\;\frac{z}{b}\\ \mathbf{else}:\\ \;\;\;\;1 \cdot \left(\left(x + \frac{y}{t} \cdot z\right) \cdot \frac{1}{\left(a + 1\right) + \frac{y}{t} \cdot b}\right)\\ \end{array}\]

Derivation

  1. Split input into 2 regimes
  2. if z < -3.547266425250832e-09 or 2.4514315965089217e-200 < z

    1. Initial program 20.4

      \[\frac{x + \frac{y \cdot z}{t}}{\left(a + 1\right) + \frac{y \cdot b}{t}}\]
    2. Using strategy rm
    3. Applied *-un-lft-identity20.4

      \[\leadsto \frac{x + \frac{y \cdot z}{t}}{\left(a + 1\right) + \frac{y \cdot b}{\color{blue}{1 \cdot t}}}\]
    4. Applied *-commutative20.4

      \[\leadsto \frac{x + \frac{y \cdot z}{t}}{\left(a + 1\right) + \frac{\color{blue}{b \cdot y}}{1 \cdot t}}\]
    5. Applied times-frac19.7

      \[\leadsto \frac{x + \frac{y \cdot z}{t}}{\left(a + 1\right) + \color{blue}{\frac{b}{1} \cdot \frac{y}{t}}}\]
    6. Simplified19.7

      \[\leadsto \frac{x + \frac{y \cdot z}{t}}{\left(a + 1\right) + \color{blue}{b} \cdot \frac{y}{t}}\]
    7. Using strategy rm
    8. Applied *-commutative19.7

      \[\leadsto \frac{x + \frac{\color{blue}{z \cdot y}}{t}}{\left(a + 1\right) + b \cdot \frac{y}{t}}\]
    9. Applied associate-/l*16.4

      \[\leadsto \frac{x + \color{blue}{\frac{z}{\frac{t}{y}}}}{\left(a + 1\right) + b \cdot \frac{y}{t}}\]
    10. Using strategy rm
    11. Applied clear-num16.4

      \[\leadsto \frac{x + \frac{z}{\frac{t}{y}}}{\left(a + 1\right) + b \cdot \color{blue}{\frac{1}{\frac{t}{y}}}}\]
    12. Applied un-div-inv16.4

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

    if -3.547266425250832e-09 < z < 2.4514315965089217e-200

    1. Initial program 9.4

      \[\frac{x + \frac{y \cdot z}{t}}{\left(a + 1\right) + \frac{y \cdot b}{t}}\]
    2. Using strategy rm
    3. Applied *-un-lft-identity9.4

      \[\leadsto \frac{x + \frac{y \cdot z}{t}}{\left(a + 1\right) + \frac{y \cdot b}{\color{blue}{1 \cdot t}}}\]
    4. Applied *-commutative9.4

      \[\leadsto \frac{x + \frac{y \cdot z}{t}}{\left(a + 1\right) + \frac{\color{blue}{b \cdot y}}{1 \cdot t}}\]
    5. Applied times-frac9.9

      \[\leadsto \frac{x + \frac{y \cdot z}{t}}{\left(a + 1\right) + \color{blue}{\frac{b}{1} \cdot \frac{y}{t}}}\]
    6. Simplified9.9

      \[\leadsto \frac{x + \frac{y \cdot z}{t}}{\left(a + 1\right) + \color{blue}{b} \cdot \frac{y}{t}}\]
    7. Using strategy rm
    8. Applied *-commutative9.9

      \[\leadsto \frac{x + \frac{\color{blue}{z \cdot y}}{t}}{\left(a + 1\right) + b \cdot \frac{y}{t}}\]
    9. Applied associate-/l*11.0

      \[\leadsto \frac{x + \color{blue}{\frac{z}{\frac{t}{y}}}}{\left(a + 1\right) + b \cdot \frac{y}{t}}\]
    10. Using strategy rm
    11. Applied clear-num11.0

      \[\leadsto \frac{x + \frac{z}{\frac{t}{y}}}{\left(a + 1\right) + b \cdot \color{blue}{\frac{1}{\frac{t}{y}}}}\]
    12. Applied un-div-inv10.7

      \[\leadsto \frac{x + \frac{z}{\frac{t}{y}}}{\left(a + 1\right) + \color{blue}{\frac{b}{\frac{t}{y}}}}\]
    13. Using strategy rm
    14. Applied *-un-lft-identity10.7

      \[\leadsto \frac{x + \frac{z}{\frac{t}{y}}}{\color{blue}{1 \cdot \left(\left(a + 1\right) + \frac{b}{\frac{t}{y}}\right)}}\]
    15. Applied *-un-lft-identity10.7

      \[\leadsto \frac{\color{blue}{1 \cdot \left(x + \frac{z}{\frac{t}{y}}\right)}}{1 \cdot \left(\left(a + 1\right) + \frac{b}{\frac{t}{y}}\right)}\]
    16. Applied times-frac10.7

      \[\leadsto \color{blue}{\frac{1}{1} \cdot \frac{x + \frac{z}{\frac{t}{y}}}{\left(a + 1\right) + \frac{b}{\frac{t}{y}}}}\]
    17. Simplified10.7

      \[\leadsto \color{blue}{1} \cdot \frac{x + \frac{z}{\frac{t}{y}}}{\left(a + 1\right) + \frac{b}{\frac{t}{y}}}\]
    18. Simplified9.5

      \[\leadsto 1 \cdot \color{blue}{\frac{\mathsf{fma}\left(\frac{z}{t}, y, x\right)}{\mathsf{fma}\left(\frac{b}{t}, y, a + 1\right)}}\]
  3. Recombined 2 regimes into one program.
  4. Final simplification14.0

    \[\leadsto \begin{array}{l} \mathbf{if}\;z \le -3.5472664252508322 \cdot 10^{-9} \lor \neg \left(z \le 2.45143159650892174 \cdot 10^{-200}\right):\\ \;\;\;\;\frac{x + \frac{z}{\frac{t}{y}}}{\left(a + 1\right) + \frac{b}{\frac{t}{y}}}\\ \mathbf{else}:\\ \;\;\;\;1 \cdot \frac{\mathsf{fma}\left(\frac{z}{t}, y, x\right)}{\mathsf{fma}\left(\frac{b}{t}, y, a + 1\right)}\\ \end{array}\]

Reproduce

herbie shell --seed 2020066 +o rules:numerics
(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))))