Average Error: 2.0 → 1.4
Time: 3.9s
Precision: binary64
\[\frac{x}{y} \cdot \left(z - t\right) + t \]
\[\begin{array}{l} \mathbf{if}\;y \leq -2.2024189491739263 \cdot 10^{-21}:\\ \;\;\;\;t + \frac{x}{\frac{y}{z - t}}\\ \mathbf{elif}\;y \leq 2.8858824852870217 \cdot 10^{-56}:\\ \;\;\;\;t + \left(x \cdot \left(z - t\right)\right) \cdot \frac{1}{y}\\ \mathbf{else}:\\ \;\;\;\;\mathsf{fma}\left(\frac{x}{y}, z - t, t\right)\\ \end{array} \]
(FPCore (x y z t) :precision binary64 (+ (* (/ x y) (- z t)) t))
(FPCore (x y z t)
 :precision binary64
 (if (<= y -2.2024189491739263e-21)
   (+ t (/ x (/ y (- z t))))
   (if (<= y 2.8858824852870217e-56)
     (+ t (* (* x (- z t)) (/ 1.0 y)))
     (fma (/ x y) (- z t) t))))
double code(double x, double y, double z, double t) {
	return ((x / y) * (z - t)) + t;
}
double code(double x, double y, double z, double t) {
	double tmp;
	if (y <= -2.2024189491739263e-21) {
		tmp = t + (x / (y / (z - t)));
	} else if (y <= 2.8858824852870217e-56) {
		tmp = t + ((x * (z - t)) * (1.0 / y));
	} else {
		tmp = fma((x / y), (z - t), t);
	}
	return tmp;
}
function code(x, y, z, t)
	return Float64(Float64(Float64(x / y) * Float64(z - t)) + t)
end
function code(x, y, z, t)
	tmp = 0.0
	if (y <= -2.2024189491739263e-21)
		tmp = Float64(t + Float64(x / Float64(y / Float64(z - t))));
	elseif (y <= 2.8858824852870217e-56)
		tmp = Float64(t + Float64(Float64(x * Float64(z - t)) * Float64(1.0 / y)));
	else
		tmp = fma(Float64(x / y), Float64(z - t), t);
	end
	return tmp
end
code[x_, y_, z_, t_] := N[(N[(N[(x / y), $MachinePrecision] * N[(z - t), $MachinePrecision]), $MachinePrecision] + t), $MachinePrecision]
code[x_, y_, z_, t_] := If[LessEqual[y, -2.2024189491739263e-21], N[(t + N[(x / N[(y / N[(z - t), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[y, 2.8858824852870217e-56], N[(t + N[(N[(x * N[(z - t), $MachinePrecision]), $MachinePrecision] * N[(1.0 / y), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(x / y), $MachinePrecision] * N[(z - t), $MachinePrecision] + t), $MachinePrecision]]]
\frac{x}{y} \cdot \left(z - t\right) + t
\begin{array}{l}
\mathbf{if}\;y \leq -2.2024189491739263 \cdot 10^{-21}:\\
\;\;\;\;t + \frac{x}{\frac{y}{z - t}}\\

\mathbf{elif}\;y \leq 2.8858824852870217 \cdot 10^{-56}:\\
\;\;\;\;t + \left(x \cdot \left(z - t\right)\right) \cdot \frac{1}{y}\\

\mathbf{else}:\\
\;\;\;\;\mathsf{fma}\left(\frac{x}{y}, z - t, t\right)\\


\end{array}

Error

Bits error versus x

Bits error versus y

Bits error versus z

Bits error versus t

Target

Original2.0
Target2.3
Herbie1.4
\[\begin{array}{l} \mathbf{if}\;z < 2.759456554562692 \cdot 10^{-282}:\\ \;\;\;\;\frac{x}{y} \cdot \left(z - t\right) + t\\ \mathbf{elif}\;z < 2.326994450874436 \cdot 10^{-110}:\\ \;\;\;\;x \cdot \frac{z - t}{y} + t\\ \mathbf{else}:\\ \;\;\;\;\frac{x}{y} \cdot \left(z - t\right) + t\\ \end{array} \]

Derivation

  1. Split input into 3 regimes
  2. if y < -2.20241894917392626e-21

    1. Initial program 1.1

      \[\frac{x}{y} \cdot \left(z - t\right) + t \]
    2. Applied egg-rr0.8

      \[\leadsto \color{blue}{\frac{x}{\frac{y}{z - t}}} + t \]

    if -2.20241894917392626e-21 < y < 2.8858824852870217e-56

    1. Initial program 3.8

      \[\frac{x}{y} \cdot \left(z - t\right) + t \]
    2. Applied egg-rr4.5

      \[\leadsto \color{blue}{{\left(\sqrt[3]{\frac{x}{y} \cdot \left(z - t\right)}\right)}^{3}} + t \]
    3. Applied egg-rr2.1

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

    if 2.8858824852870217e-56 < y

    1. Initial program 1.2

      \[\frac{x}{y} \cdot \left(z - t\right) + t \]
    2. Applied egg-rr1.2

      \[\leadsto \color{blue}{\mathsf{fma}\left(\frac{x}{y}, z - t, t\right)} \]
  3. Recombined 3 regimes into one program.
  4. Final simplification1.4

    \[\leadsto \begin{array}{l} \mathbf{if}\;y \leq -2.2024189491739263 \cdot 10^{-21}:\\ \;\;\;\;t + \frac{x}{\frac{y}{z - t}}\\ \mathbf{elif}\;y \leq 2.8858824852870217 \cdot 10^{-56}:\\ \;\;\;\;t + \left(x \cdot \left(z - t\right)\right) \cdot \frac{1}{y}\\ \mathbf{else}:\\ \;\;\;\;\mathsf{fma}\left(\frac{x}{y}, z - t, t\right)\\ \end{array} \]

Reproduce

herbie shell --seed 2022150 
(FPCore (x y z t)
  :name "Numeric.Signal.Multichannel:$cget from hsignal-0.2.7.1"
  :precision binary64

  :herbie-target
  (if (< z 2.759456554562692e-282) (+ (* (/ x y) (- z t)) t) (if (< z 2.326994450874436e-110) (+ (* x (/ (- z t) y)) t) (+ (* (/ x y) (- z t)) t)))

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