expq2 (section 3.11)

Average Accuracy: 35.1% → 99.3%

Time: 8.3s

Precision: binary64

Cost: 12992

Math

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

↓

\[\frac{e^{x}}{\mathsf{expm1}\left(x\right)} \]

FPCore

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

↓

(FPCore (x) :precision binary64 (/ (exp x) (expm1 x)))

C

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

↓

double code(double x) {
	return exp(x) / expm1(x);
}

Java

public static double code(double x) {
	return Math.exp(x) / (Math.exp(x) - 1.0);
}

↓

public static double code(double x) {
	return Math.exp(x) / Math.expm1(x);
}

Python

def code(x):
	return math.exp(x) / (math.exp(x) - 1.0)

↓

def code(x):
	return math.exp(x) / math.expm1(x)

Julia

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

↓

function code(x)
	return Float64(exp(x) / expm1(x))
end

Wolfram

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

↓

code[x_] := N[(N[Exp[x], $MachinePrecision] / N[(Exp[x] - 1), $MachinePrecision]), $MachinePrecision]

Target

Original	35.1%
Target	35.8%
Herbie	99.3%

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

Derivation

1. Initial program 35.1%

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

2. Simplified 99.3%

   \[\leadsto \color{blue}{\frac{e^{x}}{\mathsf{expm1}\left(x\right)}} \]
   Proof

   [Start] 35.1	\[ \frac{e^{x}}{e^{x} - 1} \]
   expm1-def [=>] 99.3	\[ \frac{e^{x}}{\color{blue}{\mathsf{expm1}\left(x\right)}} \]

3. Final simplification 99.3%

   \[\leadsto \frac{e^{x}}{\mathsf{expm1}\left(x\right)} \]

Alternatives

Alternative 1
Accuracy	98.6%
Cost	13124

\[\begin{array}{l} \mathbf{if}\;e^{x} \leq 2 \cdot 10^{-65}:\\ \;\;\;\;e^{x} \cdot -0.5\\ \mathbf{else}:\\ \;\;\;\;\frac{1}{x} + \left(x \cdot 0.08333333333333333 + 0.5\right)\\ \end{array} \]

Alternative 2
Accuracy	98.5%
Cost	7104

\[e^{x} \cdot \left(\left(x \cdot 0.08333333333333333 + \frac{1}{x}\right) + -0.5\right) \]

Alternative 3
Accuracy	98.2%
Cost	6848

\[e^{x} \cdot \left(\frac{1}{x} + -0.5\right) \]

Alternative 4
Accuracy	97.4%
Cost	6592

\[\frac{e^{x}}{x} \]

Alternative 5
Accuracy	3.4%
Cost	192

\[x \cdot 0.08333333333333333 \]

Alternative 6
Accuracy	67.0%
Cost	192

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

Alternative 7
Accuracy	3.3%
Cost	64

\[0.5 \]

Reproduce

herbie shell --seed 2023137 
(FPCore (x)
  :name "expq2 (section 3.11)"
  :precision binary64

  :herbie-target
  (/ 1.0 (- 1.0 (exp (- x))))

  (/ (exp x) (- (exp x) 1.0)))