expq3 (problem 3.4.2)

Average Error: 60.0 → 0.7

Time: 16.8s

Precision: binary64

Cost: 61384

\[-1 < \varepsilon \land \varepsilon < 1\]

\[ \begin{array}{c}[a, b] = \mathsf{sort}([a, b])\\ \end{array} \]

Math

\[\frac{\varepsilon \cdot \left(e^{\left(a + b\right) \cdot \varepsilon} - 1\right)}{\left(e^{a \cdot \varepsilon} - 1\right) \cdot \left(e^{b \cdot \varepsilon} - 1\right)} \]

↓

\[\begin{array}{l} t_0 := \frac{1}{b} + \frac{1}{a}\\ t_1 := \varepsilon \cdot \left(a + b\right)\\ t_2 := \frac{\varepsilon \cdot \left(e^{t_1} + -1\right)}{\left(e^{\varepsilon \cdot a} + -1\right) \cdot \left(e^{\varepsilon \cdot b} + -1\right)}\\ \mathbf{if}\;t_2 \leq -\infty:\\ \;\;\;\;t_0\\ \mathbf{elif}\;t_2 \leq 2 \cdot 10^{-90}:\\ \;\;\;\;\varepsilon \cdot \frac{\mathsf{expm1}\left(t_1\right)}{\mathsf{expm1}\left(\varepsilon \cdot a\right) \cdot \mathsf{expm1}\left(\varepsilon \cdot b\right)}\\ \mathbf{else}:\\ \;\;\;\;t_0 + \varepsilon \cdot \frac{\varepsilon}{\frac{12}{b}}\\ \end{array} \]

FPCore

(FPCore (a b eps)
 :precision binary64
 (/
  (* eps (- (exp (* (+ a b) eps)) 1.0))
  (* (- (exp (* a eps)) 1.0) (- (exp (* b eps)) 1.0))))

↓

(FPCore (a b eps)
 :precision binary64
 (let* ((t_0 (+ (/ 1.0 b) (/ 1.0 a)))
        (t_1 (* eps (+ a b)))
        (t_2
         (/
          (* eps (+ (exp t_1) -1.0))
          (* (+ (exp (* eps a)) -1.0) (+ (exp (* eps b)) -1.0)))))
   (if (<= t_2 (- INFINITY))
     t_0
     (if (<= t_2 2e-90)
       (* eps (/ (expm1 t_1) (* (expm1 (* eps a)) (expm1 (* eps b)))))
       (+ t_0 (* eps (/ eps (/ 12.0 b))))))))

C

double code(double a, double b, double eps) {
	return (eps * (exp(((a + b) * eps)) - 1.0)) / ((exp((a * eps)) - 1.0) * (exp((b * eps)) - 1.0));
}

↓

double code(double a, double b, double eps) {
	double t_0 = (1.0 / b) + (1.0 / a);
	double t_1 = eps * (a + b);
	double t_2 = (eps * (exp(t_1) + -1.0)) / ((exp((eps * a)) + -1.0) * (exp((eps * b)) + -1.0));
	double tmp;
	if (t_2 <= -((double) INFINITY)) {
		tmp = t_0;
	} else if (t_2 <= 2e-90) {
		tmp = eps * (expm1(t_1) / (expm1((eps * a)) * expm1((eps * b))));
	} else {
		tmp = t_0 + (eps * (eps / (12.0 / b)));
	}
	return tmp;
}

Java

public static double code(double a, double b, double eps) {
	return (eps * (Math.exp(((a + b) * eps)) - 1.0)) / ((Math.exp((a * eps)) - 1.0) * (Math.exp((b * eps)) - 1.0));
}

↓

public static double code(double a, double b, double eps) {
	double t_0 = (1.0 / b) + (1.0 / a);
	double t_1 = eps * (a + b);
	double t_2 = (eps * (Math.exp(t_1) + -1.0)) / ((Math.exp((eps * a)) + -1.0) * (Math.exp((eps * b)) + -1.0));
	double tmp;
	if (t_2 <= -Double.POSITIVE_INFINITY) {
		tmp = t_0;
	} else if (t_2 <= 2e-90) {
		tmp = eps * (Math.expm1(t_1) / (Math.expm1((eps * a)) * Math.expm1((eps * b))));
	} else {
		tmp = t_0 + (eps * (eps / (12.0 / b)));
	}
	return tmp;
}

Python

def code(a, b, eps):
	return (eps * (math.exp(((a + b) * eps)) - 1.0)) / ((math.exp((a * eps)) - 1.0) * (math.exp((b * eps)) - 1.0))

↓

def code(a, b, eps):
	t_0 = (1.0 / b) + (1.0 / a)
	t_1 = eps * (a + b)
	t_2 = (eps * (math.exp(t_1) + -1.0)) / ((math.exp((eps * a)) + -1.0) * (math.exp((eps * b)) + -1.0))
	tmp = 0
	if t_2 <= -math.inf:
		tmp = t_0
	elif t_2 <= 2e-90:
		tmp = eps * (math.expm1(t_1) / (math.expm1((eps * a)) * math.expm1((eps * b))))
	else:
		tmp = t_0 + (eps * (eps / (12.0 / b)))
	return tmp

Julia

function code(a, b, eps)
	return Float64(Float64(eps * Float64(exp(Float64(Float64(a + b) * eps)) - 1.0)) / Float64(Float64(exp(Float64(a * eps)) - 1.0) * Float64(exp(Float64(b * eps)) - 1.0)))
end

↓

function code(a, b, eps)
	t_0 = Float64(Float64(1.0 / b) + Float64(1.0 / a))
	t_1 = Float64(eps * Float64(a + b))
	t_2 = Float64(Float64(eps * Float64(exp(t_1) + -1.0)) / Float64(Float64(exp(Float64(eps * a)) + -1.0) * Float64(exp(Float64(eps * b)) + -1.0)))
	tmp = 0.0
	if (t_2 <= Float64(-Inf))
		tmp = t_0;
	elseif (t_2 <= 2e-90)
		tmp = Float64(eps * Float64(expm1(t_1) / Float64(expm1(Float64(eps * a)) * expm1(Float64(eps * b)))));
	else
		tmp = Float64(t_0 + Float64(eps * Float64(eps / Float64(12.0 / b))));
	end
	return tmp
end

Wolfram

code[a_, b_, eps_] := N[(N[(eps * N[(N[Exp[N[(N[(a + b), $MachinePrecision] * eps), $MachinePrecision]], $MachinePrecision] - 1.0), $MachinePrecision]), $MachinePrecision] / N[(N[(N[Exp[N[(a * eps), $MachinePrecision]], $MachinePrecision] - 1.0), $MachinePrecision] * N[(N[Exp[N[(b * eps), $MachinePrecision]], $MachinePrecision] - 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]

↓

code[a_, b_, eps_] := Block[{t$95$0 = N[(N[(1.0 / b), $MachinePrecision] + N[(1.0 / a), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(eps * N[(a + b), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[(eps * N[(N[Exp[t$95$1], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] / N[(N[(N[Exp[N[(eps * a), $MachinePrecision]], $MachinePrecision] + -1.0), $MachinePrecision] * N[(N[Exp[N[(eps * b), $MachinePrecision]], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$2, (-Infinity)], t$95$0, If[LessEqual[t$95$2, 2e-90], N[(eps * N[(N[(Exp[t$95$1] - 1), $MachinePrecision] / N[(N[(Exp[N[(eps * a), $MachinePrecision]] - 1), $MachinePrecision] * N[(Exp[N[(eps * b), $MachinePrecision]] - 1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$0 + N[(eps * N[(eps / N[(12.0 / b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]

Target

Original	60.0
Target	15.3
Herbie	0.7

\[\frac{a + b}{a \cdot b} \]

Derivation

1. Split input into 3 regimes

2. if (/.f64 (*.f64 eps (-.f64 (exp.f64 (*.f64 (+.f64 a b) eps)) 1)) (*.f64 (-.f64 (exp.f64 (*.f64 a eps)) 1) (-.f64 (exp.f64 (*.f64 b eps)) 1))) < -inf.0

   1. Initial program 64.0

      \[\frac{\varepsilon \cdot \left(e^{\left(a + b\right) \cdot \varepsilon} - 1\right)}{\left(e^{a \cdot \varepsilon} - 1\right) \cdot \left(e^{b \cdot \varepsilon} - 1\right)} \]

   2. Simplified 20.6

      \[\leadsto \color{blue}{\varepsilon \cdot \frac{\mathsf{expm1}\left(\varepsilon \cdot \left(a + b\right)\right)}{\mathsf{expm1}\left(\varepsilon \cdot a\right) \cdot \mathsf{expm1}\left(\varepsilon \cdot b\right)}} \]
      Proof

      [Start] 64.0	\[ \frac{\varepsilon \cdot \left(e^{\left(a + b\right) \cdot \varepsilon} - 1\right)}{\left(e^{a \cdot \varepsilon} - 1\right) \cdot \left(e^{b \cdot \varepsilon} - 1\right)} \]
      associate-*r/ [<=] 64.0	\[ \color{blue}{\varepsilon \cdot \frac{e^{\left(a + b\right) \cdot \varepsilon} - 1}{\left(e^{a \cdot \varepsilon} - 1\right) \cdot \left(e^{b \cdot \varepsilon} - 1\right)}} \]
      expm1-def [=>] 64.0	\[ \varepsilon \cdot \frac{\color{blue}{\mathsf{expm1}\left(\left(a + b\right) \cdot \varepsilon\right)}}{\left(e^{a \cdot \varepsilon} - 1\right) \cdot \left(e^{b \cdot \varepsilon} - 1\right)} \]
      *-commutative [=>] 64.0	\[ \varepsilon \cdot \frac{\mathsf{expm1}\left(\color{blue}{\varepsilon \cdot \left(a + b\right)}\right)}{\left(e^{a \cdot \varepsilon} - 1\right) \cdot \left(e^{b \cdot \varepsilon} - 1\right)} \]
      expm1-def [=>] 27.0	\[ \varepsilon \cdot \frac{\mathsf{expm1}\left(\varepsilon \cdot \left(a + b\right)\right)}{\color{blue}{\mathsf{expm1}\left(a \cdot \varepsilon\right)} \cdot \left(e^{b \cdot \varepsilon} - 1\right)} \]
      *-commutative [=>] 27.0	\[ \varepsilon \cdot \frac{\mathsf{expm1}\left(\varepsilon \cdot \left(a + b\right)\right)}{\mathsf{expm1}\left(\color{blue}{\varepsilon \cdot a}\right) \cdot \left(e^{b \cdot \varepsilon} - 1\right)} \]
      expm1-def [=>] 20.6	\[ \varepsilon \cdot \frac{\mathsf{expm1}\left(\varepsilon \cdot \left(a + b\right)\right)}{\mathsf{expm1}\left(\varepsilon \cdot a\right) \cdot \color{blue}{\mathsf{expm1}\left(b \cdot \varepsilon\right)}} \]
      *-commutative [=>] 20.6	\[ \varepsilon \cdot \frac{\mathsf{expm1}\left(\varepsilon \cdot \left(a + b\right)\right)}{\mathsf{expm1}\left(\varepsilon \cdot a\right) \cdot \mathsf{expm1}\left(\color{blue}{\varepsilon \cdot b}\right)} \]

   3. Taylor expanded in eps around 0 7.3

      \[\leadsto \color{blue}{\frac{a + b}{a \cdot b}} \]

   4. Taylor expanded in a around 0 0.0

      \[\leadsto \color{blue}{\frac{1}{b} + \frac{1}{a}} \]

   if -inf.0 < (/.f64 (*.f64 eps (-.f64 (exp.f64 (*.f64 (+.f64 a b) eps)) 1)) (*.f64 (-.f64 (exp.f64 (*.f64 a eps)) 1) (-.f64 (exp.f64 (*.f64 b eps)) 1))) < 1.99999999999999999e-90

   1. Initial program 2.7

      \[\frac{\varepsilon \cdot \left(e^{\left(a + b\right) \cdot \varepsilon} - 1\right)}{\left(e^{a \cdot \varepsilon} - 1\right) \cdot \left(e^{b \cdot \varepsilon} - 1\right)} \]

   2. Simplified 0.1

      \[\leadsto \color{blue}{\varepsilon \cdot \frac{\mathsf{expm1}\left(\varepsilon \cdot \left(a + b\right)\right)}{\mathsf{expm1}\left(\varepsilon \cdot a\right) \cdot \mathsf{expm1}\left(\varepsilon \cdot b\right)}} \]
      Proof

      [Start] 2.7	\[ \frac{\varepsilon \cdot \left(e^{\left(a + b\right) \cdot \varepsilon} - 1\right)}{\left(e^{a \cdot \varepsilon} - 1\right) \cdot \left(e^{b \cdot \varepsilon} - 1\right)} \]
      associate-*r/ [<=] 2.7	\[ \color{blue}{\varepsilon \cdot \frac{e^{\left(a + b\right) \cdot \varepsilon} - 1}{\left(e^{a \cdot \varepsilon} - 1\right) \cdot \left(e^{b \cdot \varepsilon} - 1\right)}} \]
      expm1-def [=>] 2.7	\[ \varepsilon \cdot \frac{\color{blue}{\mathsf{expm1}\left(\left(a + b\right) \cdot \varepsilon\right)}}{\left(e^{a \cdot \varepsilon} - 1\right) \cdot \left(e^{b \cdot \varepsilon} - 1\right)} \]
      *-commutative [=>] 2.7	\[ \varepsilon \cdot \frac{\mathsf{expm1}\left(\color{blue}{\varepsilon \cdot \left(a + b\right)}\right)}{\left(e^{a \cdot \varepsilon} - 1\right) \cdot \left(e^{b \cdot \varepsilon} - 1\right)} \]
      expm1-def [=>] 1.4	\[ \varepsilon \cdot \frac{\mathsf{expm1}\left(\varepsilon \cdot \left(a + b\right)\right)}{\color{blue}{\mathsf{expm1}\left(a \cdot \varepsilon\right)} \cdot \left(e^{b \cdot \varepsilon} - 1\right)} \]
      *-commutative [=>] 1.4	\[ \varepsilon \cdot \frac{\mathsf{expm1}\left(\varepsilon \cdot \left(a + b\right)\right)}{\mathsf{expm1}\left(\color{blue}{\varepsilon \cdot a}\right) \cdot \left(e^{b \cdot \varepsilon} - 1\right)} \]
      expm1-def [=>] 0.1	\[ \varepsilon \cdot \frac{\mathsf{expm1}\left(\varepsilon \cdot \left(a + b\right)\right)}{\mathsf{expm1}\left(\varepsilon \cdot a\right) \cdot \color{blue}{\mathsf{expm1}\left(b \cdot \varepsilon\right)}} \]
      *-commutative [=>] 0.1	\[ \varepsilon \cdot \frac{\mathsf{expm1}\left(\varepsilon \cdot \left(a + b\right)\right)}{\mathsf{expm1}\left(\varepsilon \cdot a\right) \cdot \mathsf{expm1}\left(\color{blue}{\varepsilon \cdot b}\right)} \]

   if 1.99999999999999999e-90 < (/.f64 (*.f64 eps (-.f64 (exp.f64 (*.f64 (+.f64 a b) eps)) 1)) (*.f64 (-.f64 (exp.f64 (*.f64 a eps)) 1) (-.f64 (exp.f64 (*.f64 b eps)) 1)))

   1. Initial program 63.2

      \[\frac{\varepsilon \cdot \left(e^{\left(a + b\right) \cdot \varepsilon} - 1\right)}{\left(e^{a \cdot \varepsilon} - 1\right) \cdot \left(e^{b \cdot \varepsilon} - 1\right)} \]

   2. Simplified 46.3

      \[\leadsto \color{blue}{\varepsilon \cdot \frac{\mathsf{expm1}\left(\varepsilon \cdot \left(a + b\right)\right)}{\mathsf{expm1}\left(\varepsilon \cdot a\right) \cdot \mathsf{expm1}\left(\varepsilon \cdot b\right)}} \]
      Proof

      [Start] 63.2	\[ \frac{\varepsilon \cdot \left(e^{\left(a + b\right) \cdot \varepsilon} - 1\right)}{\left(e^{a \cdot \varepsilon} - 1\right) \cdot \left(e^{b \cdot \varepsilon} - 1\right)} \]
      associate-*r/ [<=] 63.2	\[ \color{blue}{\varepsilon \cdot \frac{e^{\left(a + b\right) \cdot \varepsilon} - 1}{\left(e^{a \cdot \varepsilon} - 1\right) \cdot \left(e^{b \cdot \varepsilon} - 1\right)}} \]
      expm1-def [=>] 63.2	\[ \varepsilon \cdot \frac{\color{blue}{\mathsf{expm1}\left(\left(a + b\right) \cdot \varepsilon\right)}}{\left(e^{a \cdot \varepsilon} - 1\right) \cdot \left(e^{b \cdot \varepsilon} - 1\right)} \]
      *-commutative [=>] 63.2	\[ \varepsilon \cdot \frac{\mathsf{expm1}\left(\color{blue}{\varepsilon \cdot \left(a + b\right)}\right)}{\left(e^{a \cdot \varepsilon} - 1\right) \cdot \left(e^{b \cdot \varepsilon} - 1\right)} \]
      expm1-def [=>] 62.7	\[ \varepsilon \cdot \frac{\mathsf{expm1}\left(\varepsilon \cdot \left(a + b\right)\right)}{\color{blue}{\mathsf{expm1}\left(a \cdot \varepsilon\right)} \cdot \left(e^{b \cdot \varepsilon} - 1\right)} \]
      *-commutative [=>] 62.7	\[ \varepsilon \cdot \frac{\mathsf{expm1}\left(\varepsilon \cdot \left(a + b\right)\right)}{\mathsf{expm1}\left(\color{blue}{\varepsilon \cdot a}\right) \cdot \left(e^{b \cdot \varepsilon} - 1\right)} \]
      expm1-def [=>] 46.3	\[ \varepsilon \cdot \frac{\mathsf{expm1}\left(\varepsilon \cdot \left(a + b\right)\right)}{\mathsf{expm1}\left(\varepsilon \cdot a\right) \cdot \color{blue}{\mathsf{expm1}\left(b \cdot \varepsilon\right)}} \]
      *-commutative [=>] 46.3	\[ \varepsilon \cdot \frac{\mathsf{expm1}\left(\varepsilon \cdot \left(a + b\right)\right)}{\mathsf{expm1}\left(\varepsilon \cdot a\right) \cdot \mathsf{expm1}\left(\color{blue}{\varepsilon \cdot b}\right)} \]

   3. Taylor expanded in a around 0 63.1

      \[\leadsto \varepsilon \cdot \color{blue}{\left(\left(\frac{e^{\varepsilon \cdot b}}{e^{\varepsilon \cdot b} - 1} + \frac{1}{\varepsilon \cdot a}\right) - 0.5\right)} \]

   4. Simplified 35.4

      \[\leadsto \varepsilon \cdot \color{blue}{\left(\frac{e^{b \cdot \varepsilon}}{\mathsf{expm1}\left(b \cdot \varepsilon\right)} + \left(\frac{1}{a \cdot \varepsilon} - 0.5\right)\right)} \]
      Proof

      [Start] 63.1	\[ \varepsilon \cdot \left(\left(\frac{e^{\varepsilon \cdot b}}{e^{\varepsilon \cdot b} - 1} + \frac{1}{\varepsilon \cdot a}\right) - 0.5\right) \]
      associate--l+ [=>] 63.1	\[ \varepsilon \cdot \color{blue}{\left(\frac{e^{\varepsilon \cdot b}}{e^{\varepsilon \cdot b} - 1} + \left(\frac{1}{\varepsilon \cdot a} - 0.5\right)\right)} \]
      *-commutative [=>] 63.1	\[ \varepsilon \cdot \left(\frac{e^{\color{blue}{b \cdot \varepsilon}}}{e^{\varepsilon \cdot b} - 1} + \left(\frac{1}{\varepsilon \cdot a} - 0.5\right)\right) \]
      expm1-def [=>] 35.4	\[ \varepsilon \cdot \left(\frac{e^{b \cdot \varepsilon}}{\color{blue}{\mathsf{expm1}\left(\varepsilon \cdot b\right)}} + \left(\frac{1}{\varepsilon \cdot a} - 0.5\right)\right) \]
      *-commutative [=>] 35.4	\[ \varepsilon \cdot \left(\frac{e^{b \cdot \varepsilon}}{\mathsf{expm1}\left(\color{blue}{b \cdot \varepsilon}\right)} + \left(\frac{1}{\varepsilon \cdot a} - 0.5\right)\right) \]
      *-commutative [=>] 35.4	\[ \varepsilon \cdot \left(\frac{e^{b \cdot \varepsilon}}{\mathsf{expm1}\left(b \cdot \varepsilon\right)} + \left(\frac{1}{\color{blue}{a \cdot \varepsilon}} - 0.5\right)\right) \]

   5. Taylor expanded in eps around 0 0.8

      \[\leadsto \color{blue}{\frac{1}{a} + \left(\frac{1}{b} + {\varepsilon}^{2} \cdot \left(0.5 \cdot b - \left(0.16666666666666666 \cdot b + 0.25 \cdot b\right)\right)\right)} \]

   6. Simplified 0.8

      \[\leadsto \color{blue}{\left(\frac{1}{b} + \frac{1}{a}\right) + \left(\varepsilon \cdot \varepsilon\right) \cdot \left(b \cdot 0.5 - b \cdot 0.4166666666666667\right)} \]
      Proof

      [Start] 0.8	\[ \frac{1}{a} + \left(\frac{1}{b} + {\varepsilon}^{2} \cdot \left(0.5 \cdot b - \left(0.16666666666666666 \cdot b + 0.25 \cdot b\right)\right)\right) \]
      associate-+r+ [=>] 0.8	\[ \color{blue}{\left(\frac{1}{a} + \frac{1}{b}\right) + {\varepsilon}^{2} \cdot \left(0.5 \cdot b - \left(0.16666666666666666 \cdot b + 0.25 \cdot b\right)\right)} \]
      +-commutative [=>] 0.8	\[ \color{blue}{\left(\frac{1}{b} + \frac{1}{a}\right)} + {\varepsilon}^{2} \cdot \left(0.5 \cdot b - \left(0.16666666666666666 \cdot b + 0.25 \cdot b\right)\right) \]
      unpow2 [=>] 0.8	\[ \left(\frac{1}{b} + \frac{1}{a}\right) + \color{blue}{\left(\varepsilon \cdot \varepsilon\right)} \cdot \left(0.5 \cdot b - \left(0.16666666666666666 \cdot b + 0.25 \cdot b\right)\right) \]
      *-commutative [=>] 0.8	\[ \left(\frac{1}{b} + \frac{1}{a}\right) + \left(\varepsilon \cdot \varepsilon\right) \cdot \left(\color{blue}{b \cdot 0.5} - \left(0.16666666666666666 \cdot b + 0.25 \cdot b\right)\right) \]
      distribute-rgt-out [=>] 0.8	\[ \left(\frac{1}{b} + \frac{1}{a}\right) + \left(\varepsilon \cdot \varepsilon\right) \cdot \left(b \cdot 0.5 - \color{blue}{b \cdot \left(0.16666666666666666 + 0.25\right)}\right) \]
      metadata-eval [=>] 0.8	\[ \left(\frac{1}{b} + \frac{1}{a}\right) + \left(\varepsilon \cdot \varepsilon\right) \cdot \left(b \cdot 0.5 - b \cdot \color{blue}{0.4166666666666667}\right) \]

   7. Applied egg-rr 0.8

      \[\leadsto \left(\frac{1}{b} + \frac{1}{a}\right) + \color{blue}{\frac{\varepsilon \cdot \varepsilon}{\frac{1}{b \cdot 0.08333333333333333}}} \]

   8. Simplified 0.8

      \[\leadsto \left(\frac{1}{b} + \frac{1}{a}\right) + \color{blue}{\frac{\varepsilon}{\frac{12}{b}} \cdot \varepsilon} \]
      Proof

      [Start] 0.8	\[ \left(\frac{1}{b} + \frac{1}{a}\right) + \frac{\varepsilon \cdot \varepsilon}{\frac{1}{b \cdot 0.08333333333333333}} \]
      associate-/l* [=>] 0.8	\[ \left(\frac{1}{b} + \frac{1}{a}\right) + \color{blue}{\frac{\varepsilon}{\frac{\frac{1}{b \cdot 0.08333333333333333}}{\varepsilon}}} \]
      associate-/r/ [=>] 0.8	\[ \left(\frac{1}{b} + \frac{1}{a}\right) + \color{blue}{\frac{\varepsilon}{\frac{1}{b \cdot 0.08333333333333333}} \cdot \varepsilon} \]
      *-commutative [<=] 0.8	\[ \left(\frac{1}{b} + \frac{1}{a}\right) + \frac{\varepsilon}{\frac{1}{\color{blue}{0.08333333333333333 \cdot b}}} \cdot \varepsilon \]
      associate-/r* [=>] 0.8	\[ \left(\frac{1}{b} + \frac{1}{a}\right) + \frac{\varepsilon}{\color{blue}{\frac{\frac{1}{0.08333333333333333}}{b}}} \cdot \varepsilon \]
      metadata-eval [=>] 0.8	\[ \left(\frac{1}{b} + \frac{1}{a}\right) + \frac{\varepsilon}{\frac{\color{blue}{12}}{b}} \cdot \varepsilon \]

3. Recombined 3 regimes into one program.

4. Final simplification 0.7

   \[\leadsto \begin{array}{l} \mathbf{if}\;\frac{\varepsilon \cdot \left(e^{\varepsilon \cdot \left(a + b\right)} + -1\right)}{\left(e^{\varepsilon \cdot a} + -1\right) \cdot \left(e^{\varepsilon \cdot b} + -1\right)} \leq -\infty:\\ \;\;\;\;\frac{1}{b} + \frac{1}{a}\\ \mathbf{elif}\;\frac{\varepsilon \cdot \left(e^{\varepsilon \cdot \left(a + b\right)} + -1\right)}{\left(e^{\varepsilon \cdot a} + -1\right) \cdot \left(e^{\varepsilon \cdot b} + -1\right)} \leq 2 \cdot 10^{-90}:\\ \;\;\;\;\varepsilon \cdot \frac{\mathsf{expm1}\left(\varepsilon \cdot \left(a + b\right)\right)}{\mathsf{expm1}\left(\varepsilon \cdot a\right) \cdot \mathsf{expm1}\left(\varepsilon \cdot b\right)}\\ \mathbf{else}:\\ \;\;\;\;\left(\frac{1}{b} + \frac{1}{a}\right) + \varepsilon \cdot \frac{\varepsilon}{\frac{12}{b}}\\ \end{array} \]

Alternatives

Alternative 1
Error	3.3
Cost	704

\[\left(\frac{1}{b} + \frac{1}{a}\right) + \varepsilon \cdot -0.5 \]

Alternative 2
Error	14.0
Cost	589

\[\begin{array}{l} \mathbf{if}\;a \leq -2.95 \cdot 10^{-117} \lor \neg \left(a \leq -1.32 \cdot 10^{-135}\right) \land a \leq -2.3 \cdot 10^{-154}:\\ \;\;\;\;\frac{1}{b}\\ \mathbf{else}:\\ \;\;\;\;\frac{1}{a}\\ \end{array} \]

Alternative 3
Error	3.6
Cost	448

\[\frac{1}{b} + \frac{1}{a} \]

Alternative 4
Error	62.0
Cost	192

\[\varepsilon \cdot -0.5 \]

Alternative 5
Error	33.2
Cost	192

\[\frac{1}{a} \]

Reproduce

herbie shell --seed 2023187 
(FPCore (a b eps)
  :name "expq3 (problem 3.4.2)"
  :precision binary64
  :pre (and (< -1.0 eps) (< eps 1.0))

  :herbie-target
  (/ (+ a b) (* a b))

  (/ (* eps (- (exp (* (+ a b) eps)) 1.0)) (* (- (exp (* a eps)) 1.0) (- (exp (* b eps)) 1.0))))