Average Error: 0.0 → 0.0
Time: 872.0ms
Precision: binary64
\[\frac{x}{1 - x} \]
↓
\[\frac{x}{1 - x} \]
(FPCore (x) :precision binary64 (/ x (- 1.0 x)))
↓
(FPCore (x) :precision binary64 (/ x (- 1.0 x)))
double code(double x) {
	return x / (1.0 - x);
}
↓
double code(double x) {
	return x / (1.0 - x);
}

real(8) function code(x)
    real(8), intent (in) :: x
    code = x / (1.0d0 - x)
end function
↓
real(8) function code(x)
    real(8), intent (in) :: x
    code = x / (1.0d0 - x)
end function

public static double code(double x) {
	return x / (1.0 - x);
}
↓
public static double code(double x) {
	return x / (1.0 - x);
}

def code(x):
	return x / (1.0 - x)
↓
def code(x):
	return x / (1.0 - x)

function code(x)
	return Float64(x / Float64(1.0 - x))
end
↓
function code(x)
	return Float64(x / Float64(1.0 - x))
end

function tmp = code(x)
	tmp = x / (1.0 - x);
end
↓
function tmp = code(x)
	tmp = x / (1.0 - x);
end

code[x_] := N[(x / N[(1.0 - x), $MachinePrecision]), $MachinePrecision]
↓
code[x_] := N[(x / N[(1.0 - x), $MachinePrecision]), $MachinePrecision]

\frac{x}{1 - x}
↓
\frac{x}{1 - x}

Error

Bits error versus x

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Derivation

  1. Initial program 0.0

    \[\frac{x}{1 - x} \]

  2. Final simplification0.0

    \[\leadsto \frac{x}{1 - x} \]

Reproduce

herbie shell --seed 2022150 
(FPCore (x)
  :name "Numeric.Integration.TanhSinh:nonNegative from integration-0.2.1"
  :precision binary64
  (/ x (- 1.0 x)))