Average Error: 3.2 → 0.5
Time: 7.5s
Precision: binary64
\[ \begin{array}{c}[y, z, t] = \mathsf{sort}([y, z, t])\\ \end{array} \]
\[\left(x \cdot 2 - \left(\left(y \cdot 9\right) \cdot z\right) \cdot t\right) + \left(a \cdot 27\right) \cdot b \]
↓
\[\begin{array}{l} t_1 := \mathsf{fma}\left(27, a \cdot b, 2 \cdot x\right)\\ \mathbf{if}\;z \leq 4.469489406442574 \cdot 10^{-111}:\\ \;\;\;\;\mathsf{fma}\left(y \cdot \left(z \cdot t\right), -9, t_1\right)\\ \mathbf{else}:\\ \;\;\;\;\mathsf{fma}\left(t \cdot \left(z \cdot y\right), -9, t_1\right)\\ \end{array} \]
(FPCore (x y z t a b)
 :precision binary64
 (+ (- (* x 2.0) (* (* (* y 9.0) z) t)) (* (* a 27.0) b)))
↓
(FPCore (x y z t a b)
 :precision binary64
 (let* ((t_1 (fma 27.0 (* a b) (* 2.0 x))))
   (if (<= z 4.469489406442574e-111)
     (fma (* y (* z t)) -9.0 t_1)
     (fma (* t (* z y)) -9.0 t_1))))
double code(double x, double y, double z, double t, double a, double b) {
	return ((x * 2.0) - (((y * 9.0) * z) * t)) + ((a * 27.0) * b);
}
↓
double code(double x, double y, double z, double t, double a, double b) {
	double t_1 = fma(27.0, (a * b), (2.0 * x));
	double tmp;
	if (z <= 4.469489406442574e-111) {
		tmp = fma((y * (z * t)), -9.0, t_1);
	} else {
		tmp = fma((t * (z * y)), -9.0, t_1);
	}
	return tmp;
}

function code(x, y, z, t, a, b)
	return Float64(Float64(Float64(x * 2.0) - Float64(Float64(Float64(y * 9.0) * z) * t)) + Float64(Float64(a * 27.0) * b))
end
↓
function code(x, y, z, t, a, b)
	t_1 = fma(27.0, Float64(a * b), Float64(2.0 * x))
	tmp = 0.0
	if (z <= 4.469489406442574e-111)
		tmp = fma(Float64(y * Float64(z * t)), -9.0, t_1);
	else
		tmp = fma(Float64(t * Float64(z * y)), -9.0, t_1);
	end
	return tmp
end

code[x_, y_, z_, t_, a_, b_] := N[(N[(N[(x * 2.0), $MachinePrecision] - N[(N[(N[(y * 9.0), $MachinePrecision] * z), $MachinePrecision] * t), $MachinePrecision]), $MachinePrecision] + N[(N[(a * 27.0), $MachinePrecision] * b), $MachinePrecision]), $MachinePrecision]
↓
code[x_, y_, z_, t_, a_, b_] := Block[{t$95$1 = N[(27.0 * N[(a * b), $MachinePrecision] + N[(2.0 * x), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[z, 4.469489406442574e-111], N[(N[(y * N[(z * t), $MachinePrecision]), $MachinePrecision] * -9.0 + t$95$1), $MachinePrecision], N[(N[(t * N[(z * y), $MachinePrecision]), $MachinePrecision] * -9.0 + t$95$1), $MachinePrecision]]]

\left(x \cdot 2 - \left(\left(y \cdot 9\right) \cdot z\right) \cdot t\right) + \left(a \cdot 27\right) \cdot b
↓
\begin{array}{l}
t_1 := \mathsf{fma}\left(27, a \cdot b, 2 \cdot x\right)\\
\mathbf{if}\;z \leq 4.469489406442574 \cdot 10^{-111}:\\
\;\;\;\;\mathsf{fma}\left(y \cdot \left(z \cdot t\right), -9, t_1\right)\\

\mathbf{else}:\\
\;\;\;\;\mathsf{fma}\left(t \cdot \left(z \cdot y\right), -9, t_1\right)\\


\end{array}

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

Target

Original3.2
Target3.8
Herbie0.5
\[\begin{array}{l} \mathbf{if}\;y < 7.590524218811189 \cdot 10^{-161}:\\ \;\;\;\;\left(x \cdot 2 - \left(\left(y \cdot 9\right) \cdot z\right) \cdot t\right) + a \cdot \left(27 \cdot b\right)\\ \mathbf{else}:\\ \;\;\;\;\left(x \cdot 2 - 9 \cdot \left(y \cdot \left(t \cdot z\right)\right)\right) + \left(a \cdot 27\right) \cdot b\\ \end{array} \]

Derivation

  1. Split input into 2 regimes

  2. if z < 4.46948940644257399e-111

    1. Initial program 4.0

      \[\left(x \cdot 2 - \left(\left(y \cdot 9\right) \cdot z\right) \cdot t\right) + \left(a \cdot 27\right) \cdot b \]

    2. Taylor expanded in a around 0 3.9

      \[\leadsto \left(x \cdot 2 - \left(\left(y \cdot 9\right) \cdot z\right) \cdot t\right) + \color{blue}{27 \cdot \left(a \cdot b\right)} \]

    3. Taylor expanded in x around 0 0.6

      \[\leadsto \color{blue}{\left(2 \cdot x - 9 \cdot \left(y \cdot \left(t \cdot z\right)\right)\right)} + 27 \cdot \left(a \cdot b\right) \]

    4. Simplified3.8

      \[\leadsto \color{blue}{\mathsf{fma}\left(t, y \cdot \left(z \cdot -9\right), 2 \cdot x\right)} + 27 \cdot \left(a \cdot b\right) \]

    5. Taylor expanded in t around 0 0.6

      \[\leadsto \color{blue}{\left(27 \cdot \left(a \cdot b\right) + 2 \cdot x\right) - 9 \cdot \left(y \cdot \left(t \cdot z\right)\right)} \]

    6. Simplified0.6

      \[\leadsto \color{blue}{\mathsf{fma}\left(y \cdot \left(t \cdot z\right), -9, \mathsf{fma}\left(27, a \cdot b, 2 \cdot x\right)\right)} \]

    if 4.46948940644257399e-111 < z

    1. Initial program 0.5

      \[\left(x \cdot 2 - \left(\left(y \cdot 9\right) \cdot z\right) \cdot t\right) + \left(a \cdot 27\right) \cdot b \]

    2. Taylor expanded in a around 0 0.4

      \[\leadsto \left(x \cdot 2 - \left(\left(y \cdot 9\right) \cdot z\right) \cdot t\right) + \color{blue}{27 \cdot \left(a \cdot b\right)} \]

    3. Taylor expanded in x around 0 10.8

      \[\leadsto \color{blue}{\left(2 \cdot x - 9 \cdot \left(y \cdot \left(t \cdot z\right)\right)\right)} + 27 \cdot \left(a \cdot b\right) \]

    4. Simplified0.4

      \[\leadsto \color{blue}{\mathsf{fma}\left(t, y \cdot \left(z \cdot -9\right), 2 \cdot x\right)} + 27 \cdot \left(a \cdot b\right) \]

    5. Taylor expanded in t around 0 10.8

      \[\leadsto \color{blue}{\left(27 \cdot \left(a \cdot b\right) + 2 \cdot x\right) - 9 \cdot \left(y \cdot \left(t \cdot z\right)\right)} \]

    6. Simplified10.7

      \[\leadsto \color{blue}{\mathsf{fma}\left(y \cdot \left(t \cdot z\right), -9, \mathsf{fma}\left(27, a \cdot b, 2 \cdot x\right)\right)} \]

    7. Applied egg-rr0.4

      \[\leadsto \mathsf{fma}\left(\color{blue}{{\left(\left(y \cdot z\right) \cdot t\right)}^{1}}, -9, \mathsf{fma}\left(27, a \cdot b, 2 \cdot x\right)\right) \]
  3. Recombined 2 regimes into one program.

  4. Final simplification0.5

    \[\leadsto \begin{array}{l} \mathbf{if}\;z \leq 4.469489406442574 \cdot 10^{-111}:\\ \;\;\;\;\mathsf{fma}\left(y \cdot \left(z \cdot t\right), -9, \mathsf{fma}\left(27, a \cdot b, 2 \cdot x\right)\right)\\ \mathbf{else}:\\ \;\;\;\;\mathsf{fma}\left(t \cdot \left(z \cdot y\right), -9, \mathsf{fma}\left(27, a \cdot b, 2 \cdot x\right)\right)\\ \end{array} \]

Reproduce

herbie shell --seed 2022153 
(FPCore (x y z t a b)
  :name "Diagrams.Solve.Polynomial:cubForm  from diagrams-solve-0.1, A"
  :precision binary64

  :herbie-target
  (if (< y 7.590524218811189e-161) (+ (- (* x 2.0) (* (* (* y 9.0) z) t)) (* a (* 27.0 b))) (+ (- (* x 2.0) (* 9.0 (* y (* t z)))) (* (* a 27.0) b)))

  (+ (- (* x 2.0) (* (* (* y 9.0) z) t)) (* (* a 27.0) b)))