?

Average Error: 58.7 → 0.0
Time: 6.0s
Precision: binary64
Cost: 19840

?

\[\frac{1}{2} \cdot \log \left(\frac{1 + x}{1 - x}\right) \]
\[0.5 \cdot \left(\left(\mathsf{log1p}\left(x\right) + \mathsf{log1p}\left(x\right)\right) - \mathsf{log1p}\left(x \cdot \left(-x\right)\right)\right) \]
(FPCore (x) :precision binary64 (* (/ 1.0 2.0) (log (/ (+ 1.0 x) (- 1.0 x)))))
(FPCore (x)
 :precision binary64
 (* 0.5 (- (+ (log1p x) (log1p x)) (log1p (* x (- x))))))
double code(double x) {
	return (1.0 / 2.0) * log(((1.0 + x) / (1.0 - x)));
}
double code(double x) {
	return 0.5 * ((log1p(x) + log1p(x)) - log1p((x * -x)));
}
public static double code(double x) {
	return (1.0 / 2.0) * Math.log(((1.0 + x) / (1.0 - x)));
}
public static double code(double x) {
	return 0.5 * ((Math.log1p(x) + Math.log1p(x)) - Math.log1p((x * -x)));
}
def code(x):
	return (1.0 / 2.0) * math.log(((1.0 + x) / (1.0 - x)))
def code(x):
	return 0.5 * ((math.log1p(x) + math.log1p(x)) - math.log1p((x * -x)))
function code(x)
	return Float64(Float64(1.0 / 2.0) * log(Float64(Float64(1.0 + x) / Float64(1.0 - x))))
end
function code(x)
	return Float64(0.5 * Float64(Float64(log1p(x) + log1p(x)) - log1p(Float64(x * Float64(-x)))))
end
code[x_] := N[(N[(1.0 / 2.0), $MachinePrecision] * N[Log[N[(N[(1.0 + x), $MachinePrecision] / N[(1.0 - x), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
code[x_] := N[(0.5 * N[(N[(N[Log[1 + x], $MachinePrecision] + N[Log[1 + x], $MachinePrecision]), $MachinePrecision] - N[Log[1 + N[(x * (-x)), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\frac{1}{2} \cdot \log \left(\frac{1 + x}{1 - x}\right)
0.5 \cdot \left(\left(\mathsf{log1p}\left(x\right) + \mathsf{log1p}\left(x\right)\right) - \mathsf{log1p}\left(x \cdot \left(-x\right)\right)\right)

Error?

Try it out?

Your Program's Arguments

Results

Enter valid numbers for all inputs

Derivation?

  1. Initial program 58.7

    \[\frac{1}{2} \cdot \log \left(\frac{1 + x}{1 - x}\right) \]
  2. Simplified58.7

    \[\leadsto \color{blue}{0.5 \cdot \log \left(\frac{1 + x}{1 - x}\right)} \]
    Proof

    [Start]58.7

    \[ \frac{1}{2} \cdot \log \left(\frac{1 + x}{1 - x}\right) \]

    metadata-eval [=>]58.7

    \[ \color{blue}{0.5} \cdot \log \left(\frac{1 + x}{1 - x}\right) \]
  3. Applied egg-rr0.5

    \[\leadsto 0.5 \cdot \color{blue}{\left(\left(\mathsf{log1p}\left(x\right) - \log \left(1 - x \cdot x\right)\right) + \mathsf{log1p}\left(x\right)\right)} \]
  4. Simplified0.0

    \[\leadsto 0.5 \cdot \color{blue}{\left(\left(\mathsf{log1p}\left(x\right) + \mathsf{log1p}\left(x\right)\right) - \mathsf{log1p}\left(x \cdot \left(-x\right)\right)\right)} \]
    Proof

    [Start]0.5

    \[ 0.5 \cdot \left(\left(\mathsf{log1p}\left(x\right) - \log \left(1 - x \cdot x\right)\right) + \mathsf{log1p}\left(x\right)\right) \]

    +-commutative [=>]0.5

    \[ 0.5 \cdot \color{blue}{\left(\mathsf{log1p}\left(x\right) + \left(\mathsf{log1p}\left(x\right) - \log \left(1 - x \cdot x\right)\right)\right)} \]

    associate-+r- [=>]0.5

    \[ 0.5 \cdot \color{blue}{\left(\left(\mathsf{log1p}\left(x\right) + \mathsf{log1p}\left(x\right)\right) - \log \left(1 - x \cdot x\right)\right)} \]

    cancel-sign-sub-inv [=>]0.5

    \[ 0.5 \cdot \left(\left(\mathsf{log1p}\left(x\right) + \mathsf{log1p}\left(x\right)\right) - \log \color{blue}{\left(1 + \left(-x\right) \cdot x\right)}\right) \]

    *-commutative [<=]0.5

    \[ 0.5 \cdot \left(\left(\mathsf{log1p}\left(x\right) + \mathsf{log1p}\left(x\right)\right) - \log \left(1 + \color{blue}{x \cdot \left(-x\right)}\right)\right) \]

    log1p-def [=>]0.0

    \[ 0.5 \cdot \left(\left(\mathsf{log1p}\left(x\right) + \mathsf{log1p}\left(x\right)\right) - \color{blue}{\mathsf{log1p}\left(x \cdot \left(-x\right)\right)}\right) \]
  5. Final simplification0.0

    \[\leadsto 0.5 \cdot \left(\left(\mathsf{log1p}\left(x\right) + \mathsf{log1p}\left(x\right)\right) - \mathsf{log1p}\left(x \cdot \left(-x\right)\right)\right) \]

Alternatives

Alternative 1
Error0.0
Cost13184
\[0.5 \cdot \left(\mathsf{log1p}\left(x\right) - \mathsf{log1p}\left(-x\right)\right) \]
Alternative 2
Error0.3
Cost7040
\[0.5 \cdot \left(x \cdot 2 + 0.6666666666666666 \cdot {x}^{3}\right) \]
Alternative 3
Error0.6
Cost320
\[0.5 \cdot \left(x \cdot 2\right) \]
Alternative 4
Error60.6
Cost64
\[0 \]

Error

Reproduce?

herbie shell --seed 2023066 
(FPCore (x)
  :name "Hyperbolic arc-(co)tangent"
  :precision binary64
  (* (/ 1.0 2.0) (log (/ (+ 1.0 x) (- 1.0 x)))))