\[\left(x + y\right) \cdot \left(1 - z\right)
\]
↓
\[\left(1 - z\right) \cdot \left(x + y\right)
\]
(FPCore (x y z) :precision binary64 (* (+ x y) (- 1.0 z)))
↓
(FPCore (x y z) :precision binary64 (* (- 1.0 z) (+ x y)))
double code(double x, double y, double z) {
return (x + y) * (1.0 - z);
}
↓
double code(double x, double y, double z) {
return (1.0 - z) * (x + y);
}
real(8) function code(x, y, z)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
code = (x + y) * (1.0d0 - 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 = (1.0d0 - z) * (x + y)
end function
public static double code(double x, double y, double z) {
return (x + y) * (1.0 - z);
}
↓
public static double code(double x, double y, double z) {
return (1.0 - z) * (x + y);
}
def code(x, y, z):
return (x + y) * (1.0 - z)
↓
def code(x, y, z):
return (1.0 - z) * (x + y)
function code(x, y, z)
return Float64(Float64(x + y) * Float64(1.0 - z))
end
↓
function code(x, y, z)
return Float64(Float64(1.0 - z) * Float64(x + y))
end
function tmp = code(x, y, z)
tmp = (x + y) * (1.0 - z);
end
↓
function tmp = code(x, y, z)
tmp = (1.0 - z) * (x + y);
end
code[x_, y_, z_] := N[(N[(x + y), $MachinePrecision] * N[(1.0 - z), $MachinePrecision]), $MachinePrecision]
↓
code[x_, y_, z_] := N[(N[(1.0 - z), $MachinePrecision] * N[(x + y), $MachinePrecision]), $MachinePrecision]
\left(x + y\right) \cdot \left(1 - z\right)
↓
\left(1 - z\right) \cdot \left(x + y\right)