Math FPCore C Fortran Java Python Julia MATLAB Wolfram TeX \[\left(1 - x\right) \cdot y + x \cdot z
\]
↓
\[y + \left(z + \left(-y\right)\right) \cdot x
\]
(FPCore (x y z) :precision binary64 (+ (* (- 1.0 x) y) (* x z))) ↓
(FPCore (x y z) :precision binary64 (+ y (* (+ z (- y)) x))) double code(double x, double y, double z) {
return ((1.0 - x) * y) + (x * z);
}
↓
double code(double x, double y, double z) {
return y + ((z + -y) * x);
}
real(8) function code(x, y, z)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
code = ((1.0d0 - x) * y) + (x * z)
end function
↓
real(8) function code(x, y, z)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
code = y + ((z + -y) * x)
end function
public static double code(double x, double y, double z) {
return ((1.0 - x) * y) + (x * z);
}
↓
public static double code(double x, double y, double z) {
return y + ((z + -y) * x);
}
def code(x, y, z):
return ((1.0 - x) * y) + (x * z)
↓
def code(x, y, z):
return y + ((z + -y) * x)
function code(x, y, z)
return Float64(Float64(Float64(1.0 - x) * y) + Float64(x * z))
end
↓
function code(x, y, z)
return Float64(y + Float64(Float64(z + Float64(-y)) * x))
end
function tmp = code(x, y, z)
tmp = ((1.0 - x) * y) + (x * z);
end
↓
function tmp = code(x, y, z)
tmp = y + ((z + -y) * x);
end
code[x_, y_, z_] := N[(N[(N[(1.0 - x), $MachinePrecision] * y), $MachinePrecision] + N[(x * z), $MachinePrecision]), $MachinePrecision]
↓
code[x_, y_, z_] := N[(y + N[(N[(z + (-y)), $MachinePrecision] * x), $MachinePrecision]), $MachinePrecision]
\left(1 - x\right) \cdot y + x \cdot z
↓
y + \left(z + \left(-y\right)\right) \cdot x
Alternatives Alternative 1 Error 24.4 Cost 1576
\[\begin{array}{l}
t_0 := y \cdot \left(-x\right)\\
\mathbf{if}\;x \leq -1.6 \cdot 10^{+241}:\\
\;\;\;\;z \cdot x\\
\mathbf{elif}\;x \leq -1.8 \cdot 10^{+115}:\\
\;\;\;\;t_0\\
\mathbf{elif}\;x \leq -3.2 \cdot 10^{+40}:\\
\;\;\;\;z \cdot x\\
\mathbf{elif}\;x \leq -410000000000:\\
\;\;\;\;t_0\\
\mathbf{elif}\;x \leq -2.7 \cdot 10^{-64}:\\
\;\;\;\;z \cdot x\\
\mathbf{elif}\;x \leq 1.16 \cdot 10^{-32}:\\
\;\;\;\;y\\
\mathbf{elif}\;x \leq 4.5 \cdot 10^{+75}:\\
\;\;\;\;z \cdot x\\
\mathbf{elif}\;x \leq 1.5 \cdot 10^{+102}:\\
\;\;\;\;t_0\\
\mathbf{elif}\;x \leq 9.2 \cdot 10^{+123}:\\
\;\;\;\;z \cdot x\\
\mathbf{elif}\;x \leq 1.65 \cdot 10^{+190}:\\
\;\;\;\;t_0\\
\mathbf{else}:\\
\;\;\;\;z \cdot x\\
\end{array}
\]
Alternative 2 Error 17.0 Cost 584
\[\begin{array}{l}
t_0 := y \cdot \left(1 - x\right)\\
\mathbf{if}\;y \leq -1.2 \cdot 10^{-217}:\\
\;\;\;\;t_0\\
\mathbf{elif}\;y \leq 5 \cdot 10^{-84}:\\
\;\;\;\;z \cdot x\\
\mathbf{else}:\\
\;\;\;\;t_0\\
\end{array}
\]
Alternative 3 Error 12.5 Cost 584
\[\begin{array}{l}
t_0 := \left(z - y\right) \cdot x\\
\mathbf{if}\;x \leq -1.65 \cdot 10^{-61}:\\
\;\;\;\;t_0\\
\mathbf{elif}\;x \leq 45000:\\
\;\;\;\;y \cdot \left(1 - x\right)\\
\mathbf{else}:\\
\;\;\;\;t_0\\
\end{array}
\]
Alternative 4 Error 0.9 Cost 584
\[\begin{array}{l}
t_0 := \left(z - y\right) \cdot x\\
\mathbf{if}\;x \leq -1:\\
\;\;\;\;t_0\\
\mathbf{elif}\;x \leq 1:\\
\;\;\;\;y + z \cdot x\\
\mathbf{else}:\\
\;\;\;\;t_0\\
\end{array}
\]
Alternative 5 Error 24.5 Cost 456
\[\begin{array}{l}
\mathbf{if}\;x \leq -3.8 \cdot 10^{-61}:\\
\;\;\;\;z \cdot x\\
\mathbf{elif}\;x \leq 7.5 \cdot 10^{-35}:\\
\;\;\;\;y\\
\mathbf{else}:\\
\;\;\;\;z \cdot x\\
\end{array}
\]
Alternative 6 Error 35.1 Cost 64
\[y
\]