\[\frac{x - y}{2 - \left(x + y\right)}
\]
↓
\[\frac{x - y}{\left(2 - x\right) - y}
\]
(FPCore (x y) :precision binary64 (/ (- x y) (- 2.0 (+ x y))))
↓
(FPCore (x y) :precision binary64 (/ (- x y) (- (- 2.0 x) y)))
double code(double x, double y) {
return (x - y) / (2.0 - (x + y));
}
↓
double code(double x, double y) {
return (x - y) / ((2.0 - x) - y);
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = (x - y) / (2.0d0 - (x + y))
end function
↓
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = (x - y) / ((2.0d0 - x) - y)
end function
public static double code(double x, double y) {
return (x - y) / (2.0 - (x + y));
}
↓
public static double code(double x, double y) {
return (x - y) / ((2.0 - x) - y);
}
def code(x, y):
return (x - y) / (2.0 - (x + y))
↓
def code(x, y):
return (x - y) / ((2.0 - x) - y)
function code(x, y)
return Float64(Float64(x - y) / Float64(2.0 - Float64(x + y)))
end
↓
function code(x, y)
return Float64(Float64(x - y) / Float64(Float64(2.0 - x) - y))
end
function tmp = code(x, y)
tmp = (x - y) / (2.0 - (x + y));
end
↓
function tmp = code(x, y)
tmp = (x - y) / ((2.0 - x) - y);
end
code[x_, y_] := N[(N[(x - y), $MachinePrecision] / N[(2.0 - N[(x + y), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
↓
code[x_, y_] := N[(N[(x - y), $MachinePrecision] / N[(N[(2.0 - x), $MachinePrecision] - y), $MachinePrecision]), $MachinePrecision]
\frac{x - y}{2 - \left(x + y\right)}
↓
\frac{x - y}{\left(2 - x\right) - y}
