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