\[\frac{x - \sin x}{x - \tan x}
\]
(FPCore (x) :precision binary64 (/ (- x (sin x)) (- x (tan x))))
double code(double x) {
return (x - sin(x)) / (x - tan(x));
}
real(8) function code(x)
real(8), intent (in) :: x
code = (x - sin(x)) / (x - tan(x))
end function
public static double code(double x) {
return (x - Math.sin(x)) / (x - Math.tan(x));
}
def code(x):
return (x - math.sin(x)) / (x - math.tan(x))
function code(x)
return Float64(Float64(x - sin(x)) / Float64(x - tan(x)))
end
function tmp = code(x)
tmp = (x - sin(x)) / (x - tan(x));
end
code[x_] := N[(N[(x - N[Sin[x], $MachinePrecision]), $MachinePrecision] / N[(x - N[Tan[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\frac{x - \sin x}{x - \tan x}