Math FPCore C Fortran Java Python Julia MATLAB Wolfram TeX \[x + y \cdot \left(z + x\right)
\]
↓
\[y \cdot z - x \cdot \left(-1 - y\right)
\]
(FPCore (x y z) :precision binary64 (+ x (* y (+ z x)))) ↓
(FPCore (x y z) :precision binary64 (- (* y z) (* x (- -1.0 y)))) double code(double x, double y, double z) {
return x + (y * (z + x));
}
↓
double code(double x, double y, double z) {
return (y * z) - (x * (-1.0 - 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 * (z + x))
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) - (x * ((-1.0d0) - y))
end function
public static double code(double x, double y, double z) {
return x + (y * (z + x));
}
↓
public static double code(double x, double y, double z) {
return (y * z) - (x * (-1.0 - y));
}
def code(x, y, z):
return x + (y * (z + x))
↓
def code(x, y, z):
return (y * z) - (x * (-1.0 - y))
function code(x, y, z)
return Float64(x + Float64(y * Float64(z + x)))
end
↓
function code(x, y, z)
return Float64(Float64(y * z) - Float64(x * Float64(-1.0 - y)))
end
function tmp = code(x, y, z)
tmp = x + (y * (z + x));
end
↓
function tmp = code(x, y, z)
tmp = (y * z) - (x * (-1.0 - y));
end
code[x_, y_, z_] := N[(x + N[(y * N[(z + x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
↓
code[x_, y_, z_] := N[(N[(y * z), $MachinePrecision] - N[(x * N[(-1.0 - y), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
x + y \cdot \left(z + x\right)
↓
y \cdot z - x \cdot \left(-1 - y\right)