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