Math FPCore C Julia Wolfram TeX \[\frac{x \cdot e^{\left(y \cdot \log z + \left(t - 1\right) \cdot \log a\right) - b}}{y}
\]
↓
\[\frac{\frac{\frac{x}{\frac{\sqrt[3]{y}}{e^{\mathsf{fma}\left(y, \log z, \mathsf{fma}\left(-1 + t, \log a, -b\right)\right)}}}}{\sqrt[3]{y}}}{\sqrt[3]{y}}
\]
(FPCore (x y z t a b)
:precision binary64
(/ (* x (exp (- (+ (* y (log z)) (* (- t 1.0) (log a))) b))) y)) ↓
(FPCore (x y z t a b)
:precision binary64
(/
(/
(/ x (/ (cbrt y) (exp (fma y (log z) (fma (+ -1.0 t) (log a) (- b))))))
(cbrt y))
(cbrt y))) double code(double x, double y, double z, double t, double a, double b) {
return (x * exp((((y * log(z)) + ((t - 1.0) * log(a))) - b))) / y;
}
↓
double code(double x, double y, double z, double t, double a, double b) {
return ((x / (cbrt(y) / exp(fma(y, log(z), fma((-1.0 + t), log(a), -b))))) / cbrt(y)) / cbrt(y);
}
function code(x, y, z, t, a, b)
return Float64(Float64(x * exp(Float64(Float64(Float64(y * log(z)) + Float64(Float64(t - 1.0) * log(a))) - b))) / y)
end
↓
function code(x, y, z, t, a, b)
return Float64(Float64(Float64(x / Float64(cbrt(y) / exp(fma(y, log(z), fma(Float64(-1.0 + t), log(a), Float64(-b)))))) / cbrt(y)) / cbrt(y))
end
code[x_, y_, z_, t_, a_, b_] := N[(N[(x * N[Exp[N[(N[(N[(y * N[Log[z], $MachinePrecision]), $MachinePrecision] + N[(N[(t - 1.0), $MachinePrecision] * N[Log[a], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - b), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / y), $MachinePrecision]
↓
code[x_, y_, z_, t_, a_, b_] := N[(N[(N[(x / N[(N[Power[y, 1/3], $MachinePrecision] / N[Exp[N[(y * N[Log[z], $MachinePrecision] + N[(N[(-1.0 + t), $MachinePrecision] * N[Log[a], $MachinePrecision] + (-b)), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Power[y, 1/3], $MachinePrecision]), $MachinePrecision] / N[Power[y, 1/3], $MachinePrecision]), $MachinePrecision]
\frac{x \cdot e^{\left(y \cdot \log z + \left(t - 1\right) \cdot \log a\right) - b}}{y}
↓
\frac{\frac{\frac{x}{\frac{\sqrt[3]{y}}{e^{\mathsf{fma}\left(y, \log z, \mathsf{fma}\left(-1 + t, \log a, -b\right)\right)}}}}{\sqrt[3]{y}}}{\sqrt[3]{y}}
Alternatives Alternative 1 Error 2.0 Cost 32768
\[\frac{x}{\frac{y}{e^{\mathsf{fma}\left(y, \log z, \mathsf{fma}\left(-1 + t, \log a, -b\right)\right)}}}
\]
Alternative 2 Error 4.2 Cost 26692
\[\begin{array}{l}
t_1 := \left(t - 1\right) \cdot \log a\\
\mathbf{if}\;t_1 \leq -600:\\
\;\;\;\;\frac{x}{y \cdot e^{b - t_1}}\\
\mathbf{else}:\\
\;\;\;\;e^{\left(y \cdot \log z - \log a\right) - b} \cdot \frac{x}{y}\\
\end{array}
\]
Alternative 3 Error 2.3 Cost 26692
\[\begin{array}{l}
t_1 := \left(t - 1\right) \cdot \log a\\
\mathbf{if}\;t_1 \leq -630:\\
\;\;\;\;\frac{x}{y \cdot e^{b - t_1}}\\
\mathbf{else}:\\
\;\;\;\;\frac{e^{\left(y \cdot \log z - \log a\right) - b} \cdot x}{y}\\
\end{array}
\]
Alternative 4 Error 2.0 Cost 26432
\[\frac{x}{y \cdot e^{b - \mathsf{fma}\left(\log z, y, \left(-1 + t\right) \cdot \log a\right)}}
\]
Alternative 5 Error 6.6 Cost 20292
\[\begin{array}{l}
t_1 := \left(t - 1\right) \cdot \log a\\
\mathbf{if}\;t_1 \leq 40:\\
\;\;\;\;\frac{x}{y \cdot e^{b - t_1}}\\
\mathbf{else}:\\
\;\;\;\;\frac{x}{y \cdot e^{b - y \cdot \log z}}\\
\end{array}
\]
Alternative 6 Error 1.9 Cost 20160
\[\frac{x \cdot e^{\left(y \cdot \log z + \left(t - 1\right) \cdot \log a\right) - b}}{y}
\]
Alternative 7 Error 9.4 Cost 13836
\[\begin{array}{l}
t_1 := \frac{x}{y \cdot e^{b - y \cdot \log z}}\\
\mathbf{if}\;y \leq -5.5 \cdot 10^{+46}:\\
\;\;\;\;t_1\\
\mathbf{elif}\;y \leq -3.2 \cdot 10^{-139}:\\
\;\;\;\;e^{\left(t - 1\right) \cdot \log a - b} \cdot \frac{x}{y}\\
\mathbf{elif}\;y \leq 70000000:\\
\;\;\;\;\frac{\frac{{a}^{\left(t - 1\right)} \cdot x}{e^{b}}}{y}\\
\mathbf{else}:\\
\;\;\;\;t_1\\
\end{array}
\]
Alternative 8 Error 9.4 Cost 13704
\[\begin{array}{l}
t_1 := \frac{x}{y \cdot e^{b - y \cdot \log z}}\\
\mathbf{if}\;y \leq -1.5:\\
\;\;\;\;t_1\\
\mathbf{elif}\;y \leq 38000000:\\
\;\;\;\;\frac{\frac{{a}^{\left(t - 1\right)} \cdot x}{e^{b}}}{y}\\
\mathbf{else}:\\
\;\;\;\;t_1\\
\end{array}
\]
Alternative 9 Error 22.5 Cost 7436
\[\begin{array}{l}
t_1 := 3 - \left(3 + \frac{\frac{x}{e^{b}}}{-y}\right)\\
t_2 := \frac{{z}^{y} \cdot x}{y}\\
\mathbf{if}\;b \leq -0.03:\\
\;\;\;\;t_2\\
\mathbf{elif}\;b \leq -3.8 \cdot 10^{-91}:\\
\;\;\;\;t_1\\
\mathbf{elif}\;b \leq 2.3 \cdot 10^{-303}:\\
\;\;\;\;t_2\\
\mathbf{else}:\\
\;\;\;\;t_1\\
\end{array}
\]
Alternative 10 Error 22.9 Cost 6916
\[\begin{array}{l}
\mathbf{if}\;b \leq 2.5 \cdot 10^{-35}:\\
\;\;\;\;\frac{{z}^{y} \cdot x}{y}\\
\mathbf{else}:\\
\;\;\;\;\frac{\frac{x}{e^{b}}}{y}\\
\end{array}
\]
Alternative 11 Error 35.3 Cost 6720
\[\frac{\frac{x}{e^{b}}}{y}
\]
Alternative 12 Error 55.0 Cost 192
\[\frac{x}{y}
\]