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