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