Asymptote C

Average Error: 29.5 → 0.0

Time: 6.4s

Precision: binary64

Cost: 960

Math

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

↓

\[\frac{-3 + \frac{-1}{x}}{\frac{x + 1}{x} \cdot \left(-1 + x\right)} \]

FPCore

(FPCore (x) :precision binary64 (- (/ x (+ x 1.0)) (/ (+ x 1.0) (- x 1.0))))

↓

(FPCore (x)
 :precision binary64
 (/ (+ -3.0 (/ -1.0 x)) (* (/ (+ x 1.0) x) (+ -1.0 x))))

C

double code(double x) {
	return (x / (x + 1.0)) - ((x + 1.0) / (x - 1.0));
}

↓

double code(double x) {
	return (-3.0 + (-1.0 / x)) / (((x + 1.0) / x) * (-1.0 + x));
}

Fortran

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

↓

real(8) function code(x)
    real(8), intent (in) :: x
    code = ((-3.0d0) + ((-1.0d0) / x)) / (((x + 1.0d0) / x) * ((-1.0d0) + x))
end function

Java

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

↓

public static double code(double x) {
	return (-3.0 + (-1.0 / x)) / (((x + 1.0) / x) * (-1.0 + x));
}

Python

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

↓

def code(x):
	return (-3.0 + (-1.0 / x)) / (((x + 1.0) / x) * (-1.0 + x))

Julia

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

↓

function code(x)
	return Float64(Float64(-3.0 + Float64(-1.0 / x)) / Float64(Float64(Float64(x + 1.0) / x) * Float64(-1.0 + x)))
end

MATLAB

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

↓

function tmp = code(x)
	tmp = (-3.0 + (-1.0 / x)) / (((x + 1.0) / x) * (-1.0 + x));
end

Wolfram

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

↓

code[x_] := N[(N[(-3.0 + N[(-1.0 / x), $MachinePrecision]), $MachinePrecision] / N[(N[(N[(x + 1.0), $MachinePrecision] / x), $MachinePrecision] * N[(-1.0 + x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]

Derivation

1. Initial program 29.5

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

2. Applied egg-rr 29.2

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

3. Taylor expanded in x around 0 0.0

   \[\leadsto \frac{\color{blue}{-\left(3 + \frac{1}{x}\right)}}{\frac{x + 1}{x} \cdot \left(x + -1\right)} \]

4. Simplified 0.0

   \[\leadsto \frac{\color{blue}{-3 + \frac{-1}{x}}}{\frac{x + 1}{x} \cdot \left(x + -1\right)} \]
   Proof
   (+.f64 -3 (/.f64 -1 x)): 0 points increase in error, 0 points decrease in error
   (+.f64 (Rewrite<= metadata-eval (neg.f64 3)) (/.f64 -1 x)): 0 points increase in error, 0 points decrease in error
   (+.f64 (neg.f64 3) (/.f64 (Rewrite<= metadata-eval (neg.f64 1)) x)): 0 points increase in error, 0 points decrease in error
   (+.f64 (neg.f64 3) (Rewrite<= distribute-neg-frac_binary64 (neg.f64 (/.f64 1 x)))): 0 points increase in error, 0 points decrease in error
   (Rewrite<= distribute-neg-in_binary64 (neg.f64 (+.f64 3 (/.f64 1 x)))): 0 points increase in error, 0 points decrease in error

5. Final simplification 0.0

   \[\leadsto \frac{-3 + \frac{-1}{x}}{\frac{x + 1}{x} \cdot \left(-1 + x\right)} \]

Alternatives

Alternative 1
Error	0.7
Cost	712

\[\begin{array}{l} t_0 := \frac{-3 + \frac{-1}{x}}{x}\\ \mathbf{if}\;x \leq -1:\\ \;\;\;\;t_0\\ \mathbf{elif}\;x \leq 1:\\ \;\;\;\;1 + x \cdot 3\\ \mathbf{else}:\\ \;\;\;\;t_0\\ \end{array} \]

Alternative 2
Error	0.0
Cost	704

\[\frac{-3 + \frac{-1}{x}}{x + \frac{-1}{x}} \]

Alternative 3
Error	1.0
Cost	584

\[\begin{array}{l} \mathbf{if}\;x \leq -1:\\ \;\;\;\;\frac{-3}{x}\\ \mathbf{elif}\;x \leq 1:\\ \;\;\;\;1 + x \cdot 3\\ \mathbf{else}:\\ \;\;\;\;\frac{-3}{x}\\ \end{array} \]

Alternative 4
Error	1.4
Cost	456

\[\begin{array}{l} \mathbf{if}\;x \leq -1:\\ \;\;\;\;\frac{-3}{x}\\ \mathbf{elif}\;x \leq 1:\\ \;\;\;\;x + 1\\ \mathbf{else}:\\ \;\;\;\;\frac{-3}{x}\\ \end{array} \]

Alternative 5
Error	31.8
Cost	64

\[1 \]

Reproduce

herbie shell --seed 2022329 
(FPCore (x)
  :name "Asymptote C"
  :precision binary64
  (- (/ x (+ x 1.0)) (/ (+ x 1.0) (- x 1.0))))