Average Error: 1.4 → 0.5
Time: 4.7s
Precision: binary64
\[x + y \cdot \frac{z - t}{a - t} \]
\[\begin{array}{l} t_1 := \mathsf{fma}\left(y, \frac{z - t}{a - t}, x\right)\\ \mathbf{if}\;y \leq -8.5196827904596 \cdot 10^{+17}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;y \leq 3.7040622508066614 \cdot 10^{-90}:\\ \;\;\;\;\left(x + \frac{y \cdot z}{a - t}\right) - \frac{y \cdot t}{a - t}\\ \mathbf{else}:\\ \;\;\;\;t_1\\ \end{array} \]
(FPCore (x y z t a) :precision binary64 (+ x (* y (/ (- z t) (- a t)))))
(FPCore (x y z t a)
 :precision binary64
 (let* ((t_1 (fma y (/ (- z t) (- a t)) x)))
   (if (<= y -8.5196827904596e+17)
     t_1
     (if (<= y 3.7040622508066614e-90)
       (- (+ x (/ (* y z) (- a t))) (/ (* y t) (- a t)))
       t_1))))
double code(double x, double y, double z, double t, double a) {
	return x + (y * ((z - t) / (a - t)));
}
double code(double x, double y, double z, double t, double a) {
	double t_1 = fma(y, ((z - t) / (a - t)), x);
	double tmp;
	if (y <= -8.5196827904596e+17) {
		tmp = t_1;
	} else if (y <= 3.7040622508066614e-90) {
		tmp = (x + ((y * z) / (a - t))) - ((y * t) / (a - t));
	} else {
		tmp = t_1;
	}
	return tmp;
}
function code(x, y, z, t, a)
	return Float64(x + Float64(y * Float64(Float64(z - t) / Float64(a - t))))
end
function code(x, y, z, t, a)
	t_1 = fma(y, Float64(Float64(z - t) / Float64(a - t)), x)
	tmp = 0.0
	if (y <= -8.5196827904596e+17)
		tmp = t_1;
	elseif (y <= 3.7040622508066614e-90)
		tmp = Float64(Float64(x + Float64(Float64(y * z) / Float64(a - t))) - Float64(Float64(y * t) / Float64(a - t)));
	else
		tmp = t_1;
	end
	return tmp
end
code[x_, y_, z_, t_, a_] := N[(x + N[(y * N[(N[(z - t), $MachinePrecision] / N[(a - t), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
code[x_, y_, z_, t_, a_] := Block[{t$95$1 = N[(y * N[(N[(z - t), $MachinePrecision] / N[(a - t), $MachinePrecision]), $MachinePrecision] + x), $MachinePrecision]}, If[LessEqual[y, -8.5196827904596e+17], t$95$1, If[LessEqual[y, 3.7040622508066614e-90], N[(N[(x + N[(N[(y * z), $MachinePrecision] / N[(a - t), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[(y * t), $MachinePrecision] / N[(a - t), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], t$95$1]]]
x + y \cdot \frac{z - t}{a - t}
\begin{array}{l}
t_1 := \mathsf{fma}\left(y, \frac{z - t}{a - t}, x\right)\\
\mathbf{if}\;y \leq -8.5196827904596 \cdot 10^{+17}:\\
\;\;\;\;t_1\\

\mathbf{elif}\;y \leq 3.7040622508066614 \cdot 10^{-90}:\\
\;\;\;\;\left(x + \frac{y \cdot z}{a - t}\right) - \frac{y \cdot t}{a - t}\\

\mathbf{else}:\\
\;\;\;\;t_1\\


\end{array}

Error

Bits error versus x

Bits error versus y

Bits error versus z

Bits error versus t

Bits error versus a

Target

Original1.4
Target0.4
Herbie0.5
\[\begin{array}{l} \mathbf{if}\;y < -8.508084860551241 \cdot 10^{-17}:\\ \;\;\;\;x + y \cdot \frac{z - t}{a - t}\\ \mathbf{elif}\;y < 2.894426862792089 \cdot 10^{-49}:\\ \;\;\;\;x + \left(y \cdot \left(z - t\right)\right) \cdot \frac{1}{a - t}\\ \mathbf{else}:\\ \;\;\;\;x + y \cdot \frac{z - t}{a - t}\\ \end{array} \]

Derivation

  1. Split input into 2 regimes
  2. if y < -851968279045959940 or 3.70406225080666137e-90 < y

    1. Initial program 0.6

      \[x + y \cdot \frac{z - t}{a - t} \]
    2. Simplified0.6

      \[\leadsto \color{blue}{\mathsf{fma}\left(y, \frac{z - t}{a - t}, x\right)} \]

    if -851968279045959940 < y < 3.70406225080666137e-90

    1. Initial program 2.4

      \[x + y \cdot \frac{z - t}{a - t} \]
    2. Simplified2.4

      \[\leadsto \color{blue}{\mathsf{fma}\left(y, \frac{z - t}{a - t}, x\right)} \]
    3. Taylor expanded in y around 0 0.3

      \[\leadsto \color{blue}{\left(\frac{y \cdot z}{a - t} + x\right) - \frac{y \cdot t}{a - t}} \]
  3. Recombined 2 regimes into one program.
  4. Final simplification0.5

    \[\leadsto \begin{array}{l} \mathbf{if}\;y \leq -8.5196827904596 \cdot 10^{+17}:\\ \;\;\;\;\mathsf{fma}\left(y, \frac{z - t}{a - t}, x\right)\\ \mathbf{elif}\;y \leq 3.7040622508066614 \cdot 10^{-90}:\\ \;\;\;\;\left(x + \frac{y \cdot z}{a - t}\right) - \frac{y \cdot t}{a - t}\\ \mathbf{else}:\\ \;\;\;\;\mathsf{fma}\left(y, \frac{z - t}{a - t}, x\right)\\ \end{array} \]

Reproduce

herbie shell --seed 2022129 
(FPCore (x y z t a)
  :name "Graphics.Rendering.Plot.Render.Plot.Axis:renderAxisLine from plot-0.2.3.4, B"
  :precision binary64

  :herbie-target
  (if (< y -8.508084860551241e-17) (+ x (* y (/ (- z t) (- a t)))) (if (< y 2.894426862792089e-49) (+ x (* (* y (- z t)) (/ 1.0 (- a t)))) (+ x (* y (/ (- z t) (- a t))))))

  (+ x (* y (/ (- z t) (- a t)))))