Math FPCore C Fortran Java Python Julia MATLAB Wolfram TeX \[x \cdot \left(y + 1\right)
\]
↓
\[x + y \cdot x
\]
(FPCore (x y) :precision binary64 (* x (+ y 1.0))) ↓
(FPCore (x y) :precision binary64 (+ x (* y x))) double code(double x, double y) {
return x * (y + 1.0);
}
↓
double code(double x, double y) {
return x + (y * x);
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = x * (y + 1.0d0)
end function
↓
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = x + (y * x)
end function
public static double code(double x, double y) {
return x * (y + 1.0);
}
↓
public static double code(double x, double y) {
return x + (y * x);
}
def code(x, y):
return x * (y + 1.0)
↓
def code(x, y):
return x + (y * x)
function code(x, y)
return Float64(x * Float64(y + 1.0))
end
↓
function code(x, y)
return Float64(x + Float64(y * x))
end
function tmp = code(x, y)
tmp = x * (y + 1.0);
end
↓
function tmp = code(x, y)
tmp = x + (y * x);
end
code[x_, y_] := N[(x * N[(y + 1.0), $MachinePrecision]), $MachinePrecision]
↓
code[x_, y_] := N[(x + N[(y * x), $MachinePrecision]), $MachinePrecision]
x \cdot \left(y + 1\right)
↓
x + y \cdot x