Math FPCore C Fortran Java Python Julia MATLAB Wolfram TeX \[\frac{x \cdot \left(y - z\right)}{t - z}
\]
↓
\[x \cdot \frac{y - z}{t - z}
\]
(FPCore (x y z t) :precision binary64 (/ (* x (- y z)) (- t z))) ↓
(FPCore (x y z t) :precision binary64 (* x (/ (- y z) (- t 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 * ((y - z) / (t - 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 * ((y - z) / (t - 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 * ((y - z) / (t - z));
}
def code(x, y, z, t):
return (x * (y - z)) / (t - z)
↓
def code(x, y, z, t):
return x * ((y - z) / (t - 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(y - z) / Float64(t - 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 * ((y - z) / (t - 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[(y - z), $MachinePrecision] / N[(t - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\frac{x \cdot \left(y - z\right)}{t - z}
↓
x \cdot \frac{y - z}{t - z}
Alternatives Alternative 1 Accuracy 97.0% Cost 576
\[x \cdot \frac{y - z}{t - z}
\]
Alternative 2 Accuracy 74.1% Cost 1304
\[\begin{array}{l}
t_1 := x \cdot \frac{z}{z - t}\\
\mathbf{if}\;z \leq -1.9 \cdot 10^{+67}:\\
\;\;\;\;t_1\\
\mathbf{elif}\;z \leq -3.7 \cdot 10^{-106}:\\
\;\;\;\;\frac{x}{\frac{t - z}{y}}\\
\mathbf{elif}\;z \leq 5.3 \cdot 10^{-83}:\\
\;\;\;\;\frac{y - z}{\frac{t}{x}}\\
\mathbf{elif}\;z \leq 1800:\\
\;\;\;\;\frac{x \cdot y}{t - z}\\
\mathbf{elif}\;z \leq 1.42 \cdot 10^{+38}:\\
\;\;\;\;t_1\\
\mathbf{elif}\;z \leq 5 \cdot 10^{+109}:\\
\;\;\;\;\frac{x}{\frac{-z}{y - z}}\\
\mathbf{else}:\\
\;\;\;\;\frac{x}{1 - \frac{t}{z}}\\
\end{array}
\]
Alternative 3 Accuracy 65.2% Cost 976
\[\begin{array}{l}
t_1 := x \cdot \frac{y - z}{t}\\
\mathbf{if}\;z \leq -5.6 \cdot 10^{+148}:\\
\;\;\;\;x\\
\mathbf{elif}\;z \leq 1.15 \cdot 10^{+38}:\\
\;\;\;\;t_1\\
\mathbf{elif}\;z \leq 2.8 \cdot 10^{+92}:\\
\;\;\;\;\frac{x}{\frac{-z}{y}}\\
\mathbf{elif}\;z \leq 5.2 \cdot 10^{+161}:\\
\;\;\;\;t_1\\
\mathbf{else}:\\
\;\;\;\;x\\
\end{array}
\]
Alternative 4 Accuracy 64.1% Cost 976
\[\begin{array}{l}
\mathbf{if}\;z \leq -1.45 \cdot 10^{+148}:\\
\;\;\;\;x\\
\mathbf{elif}\;z \leq 1.42 \cdot 10^{+38}:\\
\;\;\;\;\left(y - z\right) \cdot \frac{x}{t}\\
\mathbf{elif}\;z \leq 3 \cdot 10^{+92}:\\
\;\;\;\;\frac{x}{\frac{-z}{y}}\\
\mathbf{elif}\;z \leq 2.7 \cdot 10^{+161}:\\
\;\;\;\;x \cdot \frac{y - z}{t}\\
\mathbf{else}:\\
\;\;\;\;x\\
\end{array}
\]
Alternative 5 Accuracy 74.2% Cost 976
\[\begin{array}{l}
t_1 := \frac{x}{\frac{t - z}{y}}\\
\mathbf{if}\;z \leq -1.6 \cdot 10^{+69}:\\
\;\;\;\;x \cdot \frac{z}{z - t}\\
\mathbf{elif}\;z \leq -4.9 \cdot 10^{-108}:\\
\;\;\;\;t_1\\
\mathbf{elif}\;z \leq 4.5 \cdot 10^{-83}:\\
\;\;\;\;\left(y - z\right) \cdot \frac{x}{t}\\
\mathbf{elif}\;z \leq 480:\\
\;\;\;\;t_1\\
\mathbf{else}:\\
\;\;\;\;\frac{x}{1 - \frac{t}{z}}\\
\end{array}
\]
Alternative 6 Accuracy 74.1% Cost 976
\[\begin{array}{l}
\mathbf{if}\;z \leq -1.02 \cdot 10^{+67}:\\
\;\;\;\;x \cdot \frac{z}{z - t}\\
\mathbf{elif}\;z \leq -9 \cdot 10^{-108}:\\
\;\;\;\;\frac{x}{\frac{t - z}{y}}\\
\mathbf{elif}\;z \leq 6.5 \cdot 10^{-83}:\\
\;\;\;\;\left(y - z\right) \cdot \frac{x}{t}\\
\mathbf{elif}\;z \leq 6500:\\
\;\;\;\;\frac{x \cdot y}{t - z}\\
\mathbf{else}:\\
\;\;\;\;\frac{x}{1 - \frac{t}{z}}\\
\end{array}
\]
Alternative 7 Accuracy 74.0% Cost 976
\[\begin{array}{l}
\mathbf{if}\;z \leq -2.2 \cdot 10^{+69}:\\
\;\;\;\;x \cdot \frac{z}{z - t}\\
\mathbf{elif}\;z \leq -4.8 \cdot 10^{-106}:\\
\;\;\;\;\frac{x}{\frac{t - z}{y}}\\
\mathbf{elif}\;z \leq 10^{-82}:\\
\;\;\;\;\frac{y - z}{\frac{t}{x}}\\
\mathbf{elif}\;z \leq 2600:\\
\;\;\;\;\frac{x \cdot y}{t - z}\\
\mathbf{else}:\\
\;\;\;\;\frac{x}{1 - \frac{t}{z}}\\
\end{array}
\]
Alternative 8 Accuracy 59.8% Cost 716
\[\begin{array}{l}
\mathbf{if}\;z \leq -1.2 \cdot 10^{+148}:\\
\;\;\;\;x\\
\mathbf{elif}\;z \leq -3.1 \cdot 10^{+58}:\\
\;\;\;\;x \cdot \frac{-z}{t}\\
\mathbf{elif}\;z \leq 2500:\\
\;\;\;\;x \cdot \frac{y}{t}\\
\mathbf{else}:\\
\;\;\;\;x\\
\end{array}
\]
Alternative 9 Accuracy 73.6% Cost 713
\[\begin{array}{l}
\mathbf{if}\;z \leq -4.5 \cdot 10^{-11} \lor \neg \left(z \leq 4500\right):\\
\;\;\;\;x \cdot \frac{z}{z - t}\\
\mathbf{else}:\\
\;\;\;\;\left(y - z\right) \cdot \frac{x}{t}\\
\end{array}
\]
Alternative 10 Accuracy 73.7% Cost 712
\[\begin{array}{l}
\mathbf{if}\;z \leq -1.36 \cdot 10^{-11}:\\
\;\;\;\;x \cdot \frac{z}{z - t}\\
\mathbf{elif}\;z \leq 2400:\\
\;\;\;\;\left(y - z\right) \cdot \frac{x}{t}\\
\mathbf{else}:\\
\;\;\;\;\frac{x}{1 - \frac{t}{z}}\\
\end{array}
\]
Alternative 11 Accuracy 61.3% Cost 584
\[\begin{array}{l}
\mathbf{if}\;z \leq -4.4 \cdot 10^{-7}:\\
\;\;\;\;x\\
\mathbf{elif}\;z \leq 2300:\\
\;\;\;\;x \cdot \frac{y}{t}\\
\mathbf{else}:\\
\;\;\;\;x\\
\end{array}
\]
Alternative 12 Accuracy 34.8% Cost 64
\[x
\]