?

Average Accuracy: 100.0% → 100.0%
Time: 1.9s
Precision: binary64
Cost: 320

?

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

Try it out?

Your Program's Arguments

Results

Enter valid numbers for all inputs

Derivation?

  1. Initial program 100.0%

    \[\frac{x}{1 - x} \]
  2. Final simplification100.0%

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

Alternatives

Alternative 1
Accuracy98.5%
Cost584
\[\begin{array}{l} \mathbf{if}\;x \leq -0.75:\\ \;\;\;\;-1\\ \mathbf{elif}\;x \leq 1:\\ \;\;\;\;x \cdot \left(x + 1\right)\\ \mathbf{else}:\\ \;\;\;\;-1\\ \end{array} \]
Alternative 2
Accuracy98.5%
Cost584
\[\begin{array}{l} \mathbf{if}\;x \leq -0.75:\\ \;\;\;\;-1\\ \mathbf{elif}\;x \leq 1:\\ \;\;\;\;x + x \cdot x\\ \mathbf{else}:\\ \;\;\;\;-1\\ \end{array} \]
Alternative 3
Accuracy98.0%
Cost328
\[\begin{array}{l} \mathbf{if}\;x \leq -1:\\ \;\;\;\;-1\\ \mathbf{elif}\;x \leq 1:\\ \;\;\;\;x\\ \mathbf{else}:\\ \;\;\;\;-1\\ \end{array} \]
Alternative 4
Accuracy50.9%
Cost64
\[-1 \]

Error

Reproduce?

herbie shell --seed 2023137 
(FPCore (x)
  :name "Numeric.Integration.TanhSinh:nonNegative from integration-0.2.1"
  :precision binary64
  (/ x (- 1.0 x)))