| Alternative 1 | |
|---|---|
| Error | 1.6 |
| Cost | 13632 |
\[\frac{\frac{1}{x}}{\mathsf{hypot}\left(1, z\right)} \cdot \frac{\frac{1}{y}}{\mathsf{hypot}\left(1, z\right)}
\]
(FPCore (x y z) :precision binary64 (/ (/ 1.0 x) (* y (+ 1.0 (* z z)))))
(FPCore (x y z)
:precision binary64
(let* ((t_0 (* y (* x z))))
(if (<= z -2.05e+82)
(/ 1.0 (* z t_0))
(if (<= z 8e+93) (/ (/ (/ 1.0 (fma z z 1.0)) x) y) (/ (/ 1.0 t_0) z)))))double code(double x, double y, double z) {
return (1.0 / x) / (y * (1.0 + (z * z)));
}
double code(double x, double y, double z) {
double t_0 = y * (x * z);
double tmp;
if (z <= -2.05e+82) {
tmp = 1.0 / (z * t_0);
} else if (z <= 8e+93) {
tmp = ((1.0 / fma(z, z, 1.0)) / x) / y;
} else {
tmp = (1.0 / t_0) / z;
}
return tmp;
}
function code(x, y, z) return Float64(Float64(1.0 / x) / Float64(y * Float64(1.0 + Float64(z * z)))) end
function code(x, y, z) t_0 = Float64(y * Float64(x * z)) tmp = 0.0 if (z <= -2.05e+82) tmp = Float64(1.0 / Float64(z * t_0)); elseif (z <= 8e+93) tmp = Float64(Float64(Float64(1.0 / fma(z, z, 1.0)) / x) / y); else tmp = Float64(Float64(1.0 / t_0) / z); end return tmp end
code[x_, y_, z_] := N[(N[(1.0 / x), $MachinePrecision] / N[(y * N[(1.0 + N[(z * z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
code[x_, y_, z_] := Block[{t$95$0 = N[(y * N[(x * z), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[z, -2.05e+82], N[(1.0 / N[(z * t$95$0), $MachinePrecision]), $MachinePrecision], If[LessEqual[z, 8e+93], N[(N[(N[(1.0 / N[(z * z + 1.0), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision] / y), $MachinePrecision], N[(N[(1.0 / t$95$0), $MachinePrecision] / z), $MachinePrecision]]]]
\frac{\frac{1}{x}}{y \cdot \left(1 + z \cdot z\right)}
\begin{array}{l}
t_0 := y \cdot \left(x \cdot z\right)\\
\mathbf{if}\;z \leq -2.05 \cdot 10^{+82}:\\
\;\;\;\;\frac{1}{z \cdot t_0}\\
\mathbf{elif}\;z \leq 8 \cdot 10^{+93}:\\
\;\;\;\;\frac{\frac{\frac{1}{\mathsf{fma}\left(z, z, 1\right)}}{x}}{y}\\
\mathbf{else}:\\
\;\;\;\;\frac{\frac{1}{t_0}}{z}\\
\end{array}
| Original | 6.6 |
|---|---|
| Target | 5.3 |
| Herbie | 1.8 |
if z < -2.04999999999999998e82Initial program 16.1
Simplified16.1
Taylor expanded in z around inf 15.9
Simplified3.2
if -2.04999999999999998e82 < z < 8.00000000000000035e93Initial program 1.1
Simplified1.4
Taylor expanded in x around 0 1.6
Simplified1.2
if 8.00000000000000035e93 < z Initial program 15.1
Simplified15.2
Taylor expanded in z around inf 15.8
Simplified2.8
Taylor expanded in z around 0 2.8
Final simplification1.8
| Alternative 1 | |
|---|---|
| Error | 1.6 |
| Cost | 13632 |
| Alternative 2 | |
|---|---|
| Error | 1.9 |
| Cost | 972 |
| Alternative 3 | |
|---|---|
| Error | 1.9 |
| Cost | 972 |
| Alternative 4 | |
|---|---|
| Error | 2.0 |
| Cost | 968 |
| Alternative 5 | |
|---|---|
| Error | 2.1 |
| Cost | 964 |
| Alternative 6 | |
|---|---|
| Error | 4.7 |
| Cost | 840 |
| Alternative 7 | |
|---|---|
| Error | 2.5 |
| Cost | 836 |
| Alternative 8 | |
|---|---|
| Error | 2.4 |
| Cost | 836 |
| Alternative 9 | |
|---|---|
| Error | 29.0 |
| Cost | 320 |
| Alternative 10 | |
|---|---|
| Error | 29.0 |
| Cost | 320 |
| Alternative 11 | |
|---|---|
| Error | 29.0 |
| Cost | 320 |
herbie shell --seed 2022330
(FPCore (x y z)
:name "Statistics.Distribution.CauchyLorentz:$cdensity from math-functions-0.1.5.2"
:precision binary64
:herbie-target
(if (< (* y (+ 1.0 (* z z))) (- INFINITY)) (/ (/ 1.0 y) (* (+ 1.0 (* z z)) x)) (if (< (* y (+ 1.0 (* z z))) 8.680743250567252e+305) (/ (/ 1.0 x) (* (+ 1.0 (* z z)) y)) (/ (/ 1.0 y) (* (+ 1.0 (* z z)) x))))
(/ (/ 1.0 x) (* y (+ 1.0 (* z z)))))