Math FPCore C Fortran Java Python Julia MATLAB Wolfram TeX \[\frac{x \cdot \left(y - z\right)}{t - z}
\]
↓
\[\frac{x}{\frac{t - z}{y - z}}
\]
(FPCore (x y z t) :precision binary64 (/ (* x (- y z)) (- t z))) ↓
(FPCore (x y z t) :precision binary64 (/ x (/ (- t z) (- y z)))) double code(double x, double y, double z, double t) {
return (x * (y - z)) / (t - z);
}
↓
double code(double x, double y, double z, double t) {
return x / ((t - z) / (y - z));
}
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = (x * (y - z)) / (t - z)
end function
↓
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = x / ((t - z) / (y - z))
end function
public static double code(double x, double y, double z, double t) {
return (x * (y - z)) / (t - z);
}
↓
public static double code(double x, double y, double z, double t) {
return x / ((t - z) / (y - z));
}
def code(x, y, z, t):
return (x * (y - z)) / (t - z)
↓
def code(x, y, z, t):
return x / ((t - z) / (y - z))
function code(x, y, z, t)
return Float64(Float64(x * Float64(y - z)) / Float64(t - z))
end
↓
function code(x, y, z, t)
return Float64(x / Float64(Float64(t - z) / Float64(y - z)))
end
function tmp = code(x, y, z, t)
tmp = (x * (y - z)) / (t - z);
end
↓
function tmp = code(x, y, z, t)
tmp = x / ((t - z) / (y - z));
end
code[x_, y_, z_, t_] := N[(N[(x * N[(y - z), $MachinePrecision]), $MachinePrecision] / N[(t - z), $MachinePrecision]), $MachinePrecision]
↓
code[x_, y_, z_, t_] := N[(x / N[(N[(t - z), $MachinePrecision] / N[(y - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\frac{x \cdot \left(y - z\right)}{t - z}
↓
\frac{x}{\frac{t - z}{y - z}}
Alternatives Alternative 1 Accuracy 52.2% Cost 1108
\[\begin{array}{l}
t_1 := \frac{x}{\frac{z}{z - y}}\\
t_2 := \frac{x}{\frac{t - z}{y}}\\
\mathbf{if}\;y \leq 3.1 \cdot 10^{+98}:\\
\;\;\;\;t_2\\
\mathbf{elif}\;y \leq 1.9 \cdot 10^{-32}:\\
\;\;\;\;t_1\\
\mathbf{elif}\;y \leq 9.6 \cdot 10^{-83}:\\
\;\;\;\;\left(y - z\right) \cdot \frac{x}{t}\\
\mathbf{elif}\;y \leq 2 \cdot 10^{-162}:\\
\;\;\;\;t_1\\
\mathbf{elif}\;y \leq 6.5 \cdot 10^{+79}:\\
\;\;\;\;\frac{x \cdot z}{z - t}\\
\mathbf{else}:\\
\;\;\;\;t_2\\
\end{array}
\]
Alternative 2 Accuracy 52.2% Cost 1108
\[\begin{array}{l}
t_1 := \frac{x}{\frac{z}{z - y}}\\
t_2 := \frac{x}{\frac{t - z}{y}}\\
\mathbf{if}\;y \leq 1.75 \cdot 10^{+98}:\\
\;\;\;\;t_2\\
\mathbf{elif}\;y \leq 2.8 \cdot 10^{-33}:\\
\;\;\;\;t_1\\
\mathbf{elif}\;y \leq 2 \cdot 10^{-83}:\\
\;\;\;\;\frac{y - z}{\frac{t}{x}}\\
\mathbf{elif}\;y \leq 1.85 \cdot 10^{-162}:\\
\;\;\;\;t_1\\
\mathbf{elif}\;y \leq 2.3 \cdot 10^{+79}:\\
\;\;\;\;\frac{x \cdot z}{z - t}\\
\mathbf{else}:\\
\;\;\;\;t_2\\
\end{array}
\]
Alternative 3 Accuracy 34.0% Cost 1044
\[\begin{array}{l}
\mathbf{if}\;z \leq 9.5 \cdot 10^{-12}:\\
\;\;\;\;x\\
\mathbf{elif}\;z \leq 5.4 \cdot 10^{-123}:\\
\;\;\;\;x \cdot \frac{y}{t}\\
\mathbf{elif}\;z \leq 2.2 \cdot 10^{-197}:\\
\;\;\;\;z \cdot \frac{x}{-t}\\
\mathbf{elif}\;z \leq 1.6 \cdot 10^{-75}:\\
\;\;\;\;y \cdot \frac{x}{t}\\
\mathbf{elif}\;z \leq 1.3 \cdot 10^{+152}:\\
\;\;\;\;x \cdot \left(-\frac{y}{z}\right)\\
\mathbf{else}:\\
\;\;\;\;x\\
\end{array}
\]
Alternative 4 Accuracy 52.2% Cost 1040
\[\begin{array}{l}
t_1 := \frac{x}{\frac{t - z}{y}}\\
\mathbf{if}\;y \leq 1.05 \cdot 10^{+98}:\\
\;\;\;\;t_1\\
\mathbf{elif}\;y \leq 6 \cdot 10^{-32}:\\
\;\;\;\;\frac{x}{\frac{z}{z - y}}\\
\mathbf{elif}\;y \leq 2.2 \cdot 10^{-72}:\\
\;\;\;\;\left(y - z\right) \cdot \frac{x}{t}\\
\mathbf{elif}\;y \leq 2.9 \cdot 10^{+79}:\\
\;\;\;\;x \cdot \frac{-z}{t - z}\\
\mathbf{else}:\\
\;\;\;\;t_1\\
\end{array}
\]
Alternative 5 Accuracy 34.4% Cost 976
\[\begin{array}{l}
t_1 := y \cdot \frac{x}{t - z}\\
\mathbf{if}\;z \leq 1.3 \cdot 10^{+69}:\\
\;\;\;\;x\\
\mathbf{elif}\;z \leq 2.8 \cdot 10^{-106}:\\
\;\;\;\;t_1\\
\mathbf{elif}\;z \leq 1.05 \cdot 10^{-71}:\\
\;\;\;\;\left(y - z\right) \cdot \frac{x}{t}\\
\mathbf{elif}\;z \leq 2.5 \cdot 10^{+152}:\\
\;\;\;\;t_1\\
\mathbf{else}:\\
\;\;\;\;x\\
\end{array}
\]
Alternative 6 Accuracy 50.2% Cost 976
\[\begin{array}{l}
\mathbf{if}\;t \leq 8.2 \cdot 10^{+70}:\\
\;\;\;\;x \cdot \frac{y - z}{t}\\
\mathbf{elif}\;t \leq 2.8 \cdot 10^{-44}:\\
\;\;\;\;\frac{x}{\frac{z}{z - y}}\\
\mathbf{elif}\;t \leq 2.26 \cdot 10^{+33}:\\
\;\;\;\;y \cdot \frac{x}{t - z}\\
\mathbf{elif}\;t \leq 2.2 \cdot 10^{+40}:\\
\;\;\;\;x\\
\mathbf{else}:\\
\;\;\;\;\frac{x}{\frac{t}{y - z}}\\
\end{array}
\]
Alternative 7 Accuracy 35.1% Cost 848
\[\begin{array}{l}
\mathbf{if}\;z \leq 9 \cdot 10^{-12}:\\
\;\;\;\;x\\
\mathbf{elif}\;z \leq 4.5 \cdot 10^{-124}:\\
\;\;\;\;x \cdot \frac{y}{t}\\
\mathbf{elif}\;z \leq 2.2 \cdot 10^{-197}:\\
\;\;\;\;z \cdot \frac{x}{-t}\\
\mathbf{elif}\;z \leq 1.7 \cdot 10^{+52}:\\
\;\;\;\;\frac{x}{\frac{t}{y}}\\
\mathbf{else}:\\
\;\;\;\;x\\
\end{array}
\]
Alternative 8 Accuracy 52.0% Cost 713
\[\begin{array}{l}
\mathbf{if}\;z \leq 4.2 \cdot 10^{-27} \lor \neg \left(z \leq 1.4 \cdot 10^{+52}\right):\\
\;\;\;\;\frac{x}{\frac{z}{z - y}}\\
\mathbf{else}:\\
\;\;\;\;\frac{x}{\frac{t - z}{y}}\\
\end{array}
\]
Alternative 9 Accuracy 34.4% Cost 712
\[\begin{array}{l}
\mathbf{if}\;z \leq 1.3 \cdot 10^{+69}:\\
\;\;\;\;x\\
\mathbf{elif}\;z \leq 1.3 \cdot 10^{+152}:\\
\;\;\;\;y \cdot \frac{x}{t - z}\\
\mathbf{else}:\\
\;\;\;\;x\\
\end{array}
\]
Alternative 10 Accuracy 35.0% Cost 584
\[\begin{array}{l}
\mathbf{if}\;z \leq 5.3 \cdot 10^{-11}:\\
\;\;\;\;x\\
\mathbf{elif}\;z \leq 7.5 \cdot 10^{+51}:\\
\;\;\;\;y \cdot \frac{x}{t}\\
\mathbf{else}:\\
\;\;\;\;x\\
\end{array}
\]
Alternative 11 Accuracy 35.2% Cost 584
\[\begin{array}{l}
\mathbf{if}\;z \leq 1.7 \cdot 10^{-13}:\\
\;\;\;\;x\\
\mathbf{elif}\;z \leq 8.5 \cdot 10^{+51}:\\
\;\;\;\;x \cdot \frac{y}{t}\\
\mathbf{else}:\\
\;\;\;\;x\\
\end{array}
\]
Alternative 12 Accuracy 35.1% Cost 584
\[\begin{array}{l}
\mathbf{if}\;z \leq 9.5 \cdot 10^{-12}:\\
\;\;\;\;x\\
\mathbf{elif}\;z \leq 1.6 \cdot 10^{+52}:\\
\;\;\;\;\frac{x}{\frac{t}{y}}\\
\mathbf{else}:\\
\;\;\;\;x\\
\end{array}
\]
Alternative 13 Accuracy 97.0% Cost 576
\[x \cdot \frac{y - z}{t - z}
\]
Alternative 14 Accuracy 35.2% Cost 64
\[x
\]