expq3 (problem 3.4.2)

Average Accuracy: 5.9% → 99.6%

Time: 19.7s

Precision: binary64

Cost: 61384

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

Math

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

↓

\[\begin{array}{l} t_0 := \frac{1}{b} + \left(\frac{1}{a} + \varepsilon \cdot 0.5\right)\\ t_1 := \varepsilon \cdot \left(a + b\right)\\ t_2 := \frac{\varepsilon \cdot \left(e^{t_1} + -1\right)}{\left(e^{\varepsilon \cdot a} + -1\right) \cdot \left(e^{\varepsilon \cdot b} + -1\right)}\\ \mathbf{if}\;t_2 \leq -\infty:\\ \;\;\;\;\frac{1}{b} + \frac{1}{a}\\ \mathbf{elif}\;t_2 \leq 5 \cdot 10^{-25}:\\ \;\;\;\;\mathsf{expm1}\left(t_1\right) \cdot \frac{\frac{\varepsilon}{\mathsf{expm1}\left(\varepsilon \cdot a\right)}}{\mathsf{expm1}\left(\varepsilon \cdot b\right)}\\ \mathbf{else}:\\ \;\;\;\;\frac{t_0}{\frac{t_0}{\frac{1}{a} + \left(\frac{1}{b} + \varepsilon \cdot 0.5\right)}}\\ \end{array} \]

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) (* eps 0.5))))
        (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))
     (+ (/ 1.0 b) (/ 1.0 a))
     (if (<= t_2 5e-25)
       (* (expm1 t_1) (/ (/ eps (expm1 (* eps a))) (expm1 (* eps b))))
       (/ t_0 (/ t_0 (+ (/ 1.0 a) (+ (/ 1.0 b) (* eps 0.5)))))))))

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) + (eps * 0.5));
	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 = (1.0 / b) + (1.0 / a);
	} else if (t_2 <= 5e-25) {
		tmp = expm1(t_1) * ((eps / expm1((eps * a))) / expm1((eps * b)));
	} else {
		tmp = t_0 / (t_0 / ((1.0 / a) + ((1.0 / b) + (eps * 0.5))));
	}
	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) + (eps * 0.5));
	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 = (1.0 / b) + (1.0 / a);
	} else if (t_2 <= 5e-25) {
		tmp = Math.expm1(t_1) * ((eps / Math.expm1((eps * a))) / Math.expm1((eps * b)));
	} else {
		tmp = t_0 / (t_0 / ((1.0 / a) + ((1.0 / b) + (eps * 0.5))));
	}
	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) + (eps * 0.5))
	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 = (1.0 / b) + (1.0 / a)
	elif t_2 <= 5e-25:
		tmp = math.expm1(t_1) * ((eps / math.expm1((eps * a))) / math.expm1((eps * b)))
	else:
		tmp = t_0 / (t_0 / ((1.0 / a) + ((1.0 / b) + (eps * 0.5))))
	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(Float64(1.0 / a) + Float64(eps * 0.5)))
	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 = Float64(Float64(1.0 / b) + Float64(1.0 / a));
	elseif (t_2 <= 5e-25)
		tmp = Float64(expm1(t_1) * Float64(Float64(eps / expm1(Float64(eps * a))) / expm1(Float64(eps * b))));
	else
		tmp = Float64(t_0 / Float64(t_0 / Float64(Float64(1.0 / a) + Float64(Float64(1.0 / b) + Float64(eps * 0.5)))));
	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[(N[(1.0 / a), $MachinePrecision] + N[(eps * 0.5), $MachinePrecision]), $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)], N[(N[(1.0 / b), $MachinePrecision] + N[(1.0 / a), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$2, 5e-25], N[(N[(Exp[t$95$1] - 1), $MachinePrecision] * N[(N[(eps / N[(Exp[N[(eps * a), $MachinePrecision]] - 1), $MachinePrecision]), $MachinePrecision] / N[(Exp[N[(eps * b), $MachinePrecision]] - 1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$0 / N[(t$95$0 / N[(N[(1.0 / a), $MachinePrecision] + N[(N[(1.0 / b), $MachinePrecision] + N[(eps * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]

Target

Original	5.9%
Target	76.6%
Herbie	99.6%

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

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 0.0%

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

   2. Simplified 71.4%

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

      [Start] 0.0	\[ \frac{\varepsilon \cdot \left(e^{\left(a + b\right) \cdot \varepsilon} - 1\right)}{\left(e^{a \cdot \varepsilon} - 1\right) \cdot \left(e^{b \cdot \varepsilon} - 1\right)} \]
      associate-*r/ [<=] 0.0	\[ \color{blue}{\varepsilon \cdot \frac{e^{\left(a + b\right) \cdot \varepsilon} - 1}{\left(e^{a \cdot \varepsilon} - 1\right) \cdot \left(e^{b \cdot \varepsilon} - 1\right)}} \]
      expm1-def [=>] 0.0	\[ \varepsilon \cdot \frac{\color{blue}{\mathsf{expm1}\left(\left(a + b\right) \cdot \varepsilon\right)}}{\left(e^{a \cdot \varepsilon} - 1\right) \cdot \left(e^{b \cdot \varepsilon} - 1\right)} \]
      *-commutative [=>] 0.0	\[ \varepsilon \cdot \frac{\mathsf{expm1}\left(\color{blue}{\varepsilon \cdot \left(a + b\right)}\right)}{\left(e^{a \cdot \varepsilon} - 1\right) \cdot \left(e^{b \cdot \varepsilon} - 1\right)} \]
      expm1-def [=>] 31.4	\[ \varepsilon \cdot \frac{\mathsf{expm1}\left(\varepsilon \cdot \left(a + b\right)\right)}{\color{blue}{\mathsf{expm1}\left(a \cdot \varepsilon\right)} \cdot \left(e^{b \cdot \varepsilon} - 1\right)} \]
      *-commutative [=>] 31.4	\[ \varepsilon \cdot \frac{\mathsf{expm1}\left(\varepsilon \cdot \left(a + b\right)\right)}{\mathsf{expm1}\left(\color{blue}{\varepsilon \cdot a}\right) \cdot \left(e^{b \cdot \varepsilon} - 1\right)} \]
      expm1-def [=>] 71.4	\[ \varepsilon \cdot \frac{\mathsf{expm1}\left(\varepsilon \cdot \left(a + b\right)\right)}{\mathsf{expm1}\left(\varepsilon \cdot a\right) \cdot \color{blue}{\mathsf{expm1}\left(b \cdot \varepsilon\right)}} \]
      *-commutative [=>] 71.4	\[ \varepsilon \cdot \frac{\mathsf{expm1}\left(\varepsilon \cdot \left(a + b\right)\right)}{\mathsf{expm1}\left(\varepsilon \cdot a\right) \cdot \mathsf{expm1}\left(\color{blue}{\varepsilon \cdot b}\right)} \]

   3. Taylor expanded in eps around 0 88.8%

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

   4. Taylor expanded in a around 0 100.0%

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

   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))) < 4.99999999999999962e-25

   1. Initial program 93.5%

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

   2. Simplified 99.8%

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

      [Start] 93.5	\[ \frac{\varepsilon \cdot \left(e^{\left(a + b\right) \cdot \varepsilon} - 1\right)}{\left(e^{a \cdot \varepsilon} - 1\right) \cdot \left(e^{b \cdot \varepsilon} - 1\right)} \]
      associate-*l/ [<=] 93.5	\[ \color{blue}{\frac{\varepsilon}{\left(e^{a \cdot \varepsilon} - 1\right) \cdot \left(e^{b \cdot \varepsilon} - 1\right)} \cdot \left(e^{\left(a + b\right) \cdot \varepsilon} - 1\right)} \]
      *-commutative [=>] 93.5	\[ \color{blue}{\left(e^{\left(a + b\right) \cdot \varepsilon} - 1\right) \cdot \frac{\varepsilon}{\left(e^{a \cdot \varepsilon} - 1\right) \cdot \left(e^{b \cdot \varepsilon} - 1\right)}} \]
      associate-/r* [=>] 93.5	\[ \left(e^{\left(a + b\right) \cdot \varepsilon} - 1\right) \cdot \color{blue}{\frac{\frac{\varepsilon}{e^{a \cdot \varepsilon} - 1}}{e^{b \cdot \varepsilon} - 1}} \]
      expm1-def [=>] 93.5	\[ \color{blue}{\mathsf{expm1}\left(\left(a + b\right) \cdot \varepsilon\right)} \cdot \frac{\frac{\varepsilon}{e^{a \cdot \varepsilon} - 1}}{e^{b \cdot \varepsilon} - 1} \]
      *-commutative [=>] 93.5	\[ \mathsf{expm1}\left(\color{blue}{\varepsilon \cdot \left(a + b\right)}\right) \cdot \frac{\frac{\varepsilon}{e^{a \cdot \varepsilon} - 1}}{e^{b \cdot \varepsilon} - 1} \]
      expm1-def [=>] 96.4	\[ \mathsf{expm1}\left(\varepsilon \cdot \left(a + b\right)\right) \cdot \frac{\frac{\varepsilon}{\color{blue}{\mathsf{expm1}\left(a \cdot \varepsilon\right)}}}{e^{b \cdot \varepsilon} - 1} \]
      *-commutative [=>] 96.4	\[ \mathsf{expm1}\left(\varepsilon \cdot \left(a + b\right)\right) \cdot \frac{\frac{\varepsilon}{\mathsf{expm1}\left(\color{blue}{\varepsilon \cdot a}\right)}}{e^{b \cdot \varepsilon} - 1} \]
      expm1-def [=>] 99.8	\[ \mathsf{expm1}\left(\varepsilon \cdot \left(a + b\right)\right) \cdot \frac{\frac{\varepsilon}{\mathsf{expm1}\left(\varepsilon \cdot a\right)}}{\color{blue}{\mathsf{expm1}\left(b \cdot \varepsilon\right)}} \]
      *-commutative [=>] 99.8	\[ \mathsf{expm1}\left(\varepsilon \cdot \left(a + b\right)\right) \cdot \frac{\frac{\varepsilon}{\mathsf{expm1}\left(\varepsilon \cdot a\right)}}{\mathsf{expm1}\left(\color{blue}{\varepsilon \cdot b}\right)} \]

   if 4.99999999999999962e-25 < (/.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 0.4%

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

   2. Simplified 46.8%

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

      [Start] 0.4	\[ \frac{\varepsilon \cdot \left(e^{\left(a + b\right) \cdot \varepsilon} - 1\right)}{\left(e^{a \cdot \varepsilon} - 1\right) \cdot \left(e^{b \cdot \varepsilon} - 1\right)} \]
      times-frac [=>] 0.4	\[ \color{blue}{\frac{\varepsilon}{e^{a \cdot \varepsilon} - 1} \cdot \frac{e^{\left(a + b\right) \cdot \varepsilon} - 1}{e^{b \cdot \varepsilon} - 1}} \]
      expm1-def [=>] 6.1	\[ \frac{\varepsilon}{\color{blue}{\mathsf{expm1}\left(a \cdot \varepsilon\right)}} \cdot \frac{e^{\left(a + b\right) \cdot \varepsilon} - 1}{e^{b \cdot \varepsilon} - 1} \]
      *-commutative [=>] 6.1	\[ \frac{\varepsilon}{\mathsf{expm1}\left(\color{blue}{\varepsilon \cdot a}\right)} \cdot \frac{e^{\left(a + b\right) \cdot \varepsilon} - 1}{e^{b \cdot \varepsilon} - 1} \]
      expm1-def [=>] 5.8	\[ \frac{\varepsilon}{\mathsf{expm1}\left(\varepsilon \cdot a\right)} \cdot \frac{\color{blue}{\mathsf{expm1}\left(\left(a + b\right) \cdot \varepsilon\right)}}{e^{b \cdot \varepsilon} - 1} \]
      *-commutative [=>] 5.8	\[ \frac{\varepsilon}{\mathsf{expm1}\left(\varepsilon \cdot a\right)} \cdot \frac{\mathsf{expm1}\left(\color{blue}{\varepsilon \cdot \left(a + b\right)}\right)}{e^{b \cdot \varepsilon} - 1} \]
      expm1-def [=>] 46.8	\[ \frac{\varepsilon}{\mathsf{expm1}\left(\varepsilon \cdot a\right)} \cdot \frac{\mathsf{expm1}\left(\varepsilon \cdot \left(a + b\right)\right)}{\color{blue}{\mathsf{expm1}\left(b \cdot \varepsilon\right)}} \]
      *-commutative [=>] 46.8	\[ \frac{\varepsilon}{\mathsf{expm1}\left(\varepsilon \cdot a\right)} \cdot \frac{\mathsf{expm1}\left(\varepsilon \cdot \left(a + b\right)\right)}{\mathsf{expm1}\left(\color{blue}{\varepsilon \cdot b}\right)} \]

   3. Taylor expanded in eps around 0 54.1%

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

   4. Taylor expanded in a around 0 99.7%

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

   5. Applied egg-rr 99.7%

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

      [Start] 99.7	\[ \left(\frac{1}{b} + \frac{1}{a}\right) - 0.5 \cdot \varepsilon \]
      flip-- [=>] 45.0	\[ \color{blue}{\frac{\left(\frac{1}{b} + \frac{1}{a}\right) \cdot \left(\frac{1}{b} + \frac{1}{a}\right) - \left(0.5 \cdot \varepsilon\right) \cdot \left(0.5 \cdot \varepsilon\right)}{\left(\frac{1}{b} + \frac{1}{a}\right) + 0.5 \cdot \varepsilon}} \]
      difference-of-squares [=>] 45.0	\[ \frac{\color{blue}{\left(\left(\frac{1}{b} + \frac{1}{a}\right) + 0.5 \cdot \varepsilon\right) \cdot \left(\left(\frac{1}{b} + \frac{1}{a}\right) - 0.5 \cdot \varepsilon\right)}}{\left(\frac{1}{b} + \frac{1}{a}\right) + 0.5 \cdot \varepsilon} \]
      associate-/l* [=>] 99.7	\[ \color{blue}{\frac{\left(\frac{1}{b} + \frac{1}{a}\right) + 0.5 \cdot \varepsilon}{\frac{\left(\frac{1}{b} + \frac{1}{a}\right) + 0.5 \cdot \varepsilon}{\left(\frac{1}{b} + \frac{1}{a}\right) - 0.5 \cdot \varepsilon}}} \]
      associate-+l+ [=>] 99.7	\[ \frac{\color{blue}{\frac{1}{b} + \left(\frac{1}{a} + 0.5 \cdot \varepsilon\right)}}{\frac{\left(\frac{1}{b} + \frac{1}{a}\right) + 0.5 \cdot \varepsilon}{\left(\frac{1}{b} + \frac{1}{a}\right) - 0.5 \cdot \varepsilon}} \]
      associate-+l+ [=>] 99.7	\[ \frac{\frac{1}{b} + \left(\frac{1}{a} + 0.5 \cdot \varepsilon\right)}{\frac{\color{blue}{\frac{1}{b} + \left(\frac{1}{a} + 0.5 \cdot \varepsilon\right)}}{\left(\frac{1}{b} + \frac{1}{a}\right) - 0.5 \cdot \varepsilon}} \]
      associate--l+ [=>] 99.7	\[ \frac{\frac{1}{b} + \left(\frac{1}{a} + 0.5 \cdot \varepsilon\right)}{\frac{\frac{1}{b} + \left(\frac{1}{a} + 0.5 \cdot \varepsilon\right)}{\color{blue}{\frac{1}{b} + \left(\frac{1}{a} - 0.5 \cdot \varepsilon\right)}}} \]
      cancel-sign-sub-inv [=>] 99.7	\[ \frac{\frac{1}{b} + \left(\frac{1}{a} + 0.5 \cdot \varepsilon\right)}{\frac{\frac{1}{b} + \left(\frac{1}{a} + 0.5 \cdot \varepsilon\right)}{\frac{1}{b} + \color{blue}{\left(\frac{1}{a} + \left(-0.5\right) \cdot \varepsilon\right)}}} \]
      *-commutative [=>] 99.7	\[ \frac{\frac{1}{b} + \left(\frac{1}{a} + 0.5 \cdot \varepsilon\right)}{\frac{\frac{1}{b} + \left(\frac{1}{a} + 0.5 \cdot \varepsilon\right)}{\frac{1}{b} + \left(\frac{1}{a} + \color{blue}{\varepsilon \cdot \left(-0.5\right)}\right)}} \]
      metadata-eval [=>] 99.7	\[ \frac{\frac{1}{b} + \left(\frac{1}{a} + 0.5 \cdot \varepsilon\right)}{\frac{\frac{1}{b} + \left(\frac{1}{a} + 0.5 \cdot \varepsilon\right)}{\frac{1}{b} + \left(\frac{1}{a} + \varepsilon \cdot \color{blue}{-0.5}\right)}} \]

   6. Applied egg-rr 99.6%

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

      [Start] 99.7	\[ \frac{\frac{1}{b} + \left(\frac{1}{a} + 0.5 \cdot \varepsilon\right)}{\frac{\frac{1}{b} + \left(\frac{1}{a} + 0.5 \cdot \varepsilon\right)}{\frac{1}{b} + \left(\frac{1}{a} + \varepsilon \cdot -0.5\right)}} \]
      +-commutative [=>] 99.7	\[ \frac{\frac{1}{b} + \left(\frac{1}{a} + 0.5 \cdot \varepsilon\right)}{\frac{\frac{1}{b} + \left(\frac{1}{a} + 0.5 \cdot \varepsilon\right)}{\color{blue}{\left(\frac{1}{a} + \varepsilon \cdot -0.5\right) + \frac{1}{b}}}} \]
      *-commutative [=>] 99.7	\[ \frac{\frac{1}{b} + \left(\frac{1}{a} + 0.5 \cdot \varepsilon\right)}{\frac{\frac{1}{b} + \left(\frac{1}{a} + 0.5 \cdot \varepsilon\right)}{\left(\frac{1}{a} + \color{blue}{-0.5 \cdot \varepsilon}\right) + \frac{1}{b}}} \]
      metadata-eval [<=] 99.7	\[ \frac{\frac{1}{b} + \left(\frac{1}{a} + 0.5 \cdot \varepsilon\right)}{\frac{\frac{1}{b} + \left(\frac{1}{a} + 0.5 \cdot \varepsilon\right)}{\left(\frac{1}{a} + \color{blue}{\left(-0.5\right)} \cdot \varepsilon\right) + \frac{1}{b}}} \]
      cancel-sign-sub-inv [<=] 99.7	\[ \frac{\frac{1}{b} + \left(\frac{1}{a} + 0.5 \cdot \varepsilon\right)}{\frac{\frac{1}{b} + \left(\frac{1}{a} + 0.5 \cdot \varepsilon\right)}{\color{blue}{\left(\frac{1}{a} - 0.5 \cdot \varepsilon\right)} + \frac{1}{b}}} \]
      associate-+l- [=>] 99.7	\[ \frac{\frac{1}{b} + \left(\frac{1}{a} + 0.5 \cdot \varepsilon\right)}{\frac{\frac{1}{b} + \left(\frac{1}{a} + 0.5 \cdot \varepsilon\right)}{\color{blue}{\frac{1}{a} - \left(0.5 \cdot \varepsilon - \frac{1}{b}\right)}}} \]
      add-sqr-sqrt [=>] 57.9	\[ \frac{\frac{1}{b} + \left(\frac{1}{a} + 0.5 \cdot \varepsilon\right)}{\frac{\frac{1}{b} + \left(\frac{1}{a} + 0.5 \cdot \varepsilon\right)}{\frac{1}{a} - \left(\color{blue}{\sqrt{0.5 \cdot \varepsilon} \cdot \sqrt{0.5 \cdot \varepsilon}} - \frac{1}{b}\right)}} \]
      sqrt-unprod [=>] 99.6	\[ \frac{\frac{1}{b} + \left(\frac{1}{a} + 0.5 \cdot \varepsilon\right)}{\frac{\frac{1}{b} + \left(\frac{1}{a} + 0.5 \cdot \varepsilon\right)}{\frac{1}{a} - \left(\color{blue}{\sqrt{\left(0.5 \cdot \varepsilon\right) \cdot \left(0.5 \cdot \varepsilon\right)}} - \frac{1}{b}\right)}} \]
      *-commutative [=>] 99.6	\[ \frac{\frac{1}{b} + \left(\frac{1}{a} + 0.5 \cdot \varepsilon\right)}{\frac{\frac{1}{b} + \left(\frac{1}{a} + 0.5 \cdot \varepsilon\right)}{\frac{1}{a} - \left(\sqrt{\color{blue}{\left(\varepsilon \cdot 0.5\right)} \cdot \left(0.5 \cdot \varepsilon\right)} - \frac{1}{b}\right)}} \]
      *-commutative [=>] 99.6	\[ \frac{\frac{1}{b} + \left(\frac{1}{a} + 0.5 \cdot \varepsilon\right)}{\frac{\frac{1}{b} + \left(\frac{1}{a} + 0.5 \cdot \varepsilon\right)}{\frac{1}{a} - \left(\sqrt{\left(\varepsilon \cdot 0.5\right) \cdot \color{blue}{\left(\varepsilon \cdot 0.5\right)}} - \frac{1}{b}\right)}} \]
      swap-sqr [=>] 99.6	\[ \frac{\frac{1}{b} + \left(\frac{1}{a} + 0.5 \cdot \varepsilon\right)}{\frac{\frac{1}{b} + \left(\frac{1}{a} + 0.5 \cdot \varepsilon\right)}{\frac{1}{a} - \left(\sqrt{\color{blue}{\left(\varepsilon \cdot \varepsilon\right) \cdot \left(0.5 \cdot 0.5\right)}} - \frac{1}{b}\right)}} \]
      metadata-eval [=>] 99.6	\[ \frac{\frac{1}{b} + \left(\frac{1}{a} + 0.5 \cdot \varepsilon\right)}{\frac{\frac{1}{b} + \left(\frac{1}{a} + 0.5 \cdot \varepsilon\right)}{\frac{1}{a} - \left(\sqrt{\left(\varepsilon \cdot \varepsilon\right) \cdot \color{blue}{0.25}} - \frac{1}{b}\right)}} \]
      metadata-eval [<=] 99.6	\[ \frac{\frac{1}{b} + \left(\frac{1}{a} + 0.5 \cdot \varepsilon\right)}{\frac{\frac{1}{b} + \left(\frac{1}{a} + 0.5 \cdot \varepsilon\right)}{\frac{1}{a} - \left(\sqrt{\left(\varepsilon \cdot \varepsilon\right) \cdot \color{blue}{\left(-0.5 \cdot -0.5\right)}} - \frac{1}{b}\right)}} \]
      swap-sqr [<=] 99.6	\[ \frac{\frac{1}{b} + \left(\frac{1}{a} + 0.5 \cdot \varepsilon\right)}{\frac{\frac{1}{b} + \left(\frac{1}{a} + 0.5 \cdot \varepsilon\right)}{\frac{1}{a} - \left(\sqrt{\color{blue}{\left(\varepsilon \cdot -0.5\right) \cdot \left(\varepsilon \cdot -0.5\right)}} - \frac{1}{b}\right)}} \]
      sqrt-unprod [<=] 41.7	\[ \frac{\frac{1}{b} + \left(\frac{1}{a} + 0.5 \cdot \varepsilon\right)}{\frac{\frac{1}{b} + \left(\frac{1}{a} + 0.5 \cdot \varepsilon\right)}{\frac{1}{a} - \left(\color{blue}{\sqrt{\varepsilon \cdot -0.5} \cdot \sqrt{\varepsilon \cdot -0.5}} - \frac{1}{b}\right)}} \]
      add-sqr-sqrt [<=] 99.6	\[ \frac{\frac{1}{b} + \left(\frac{1}{a} + 0.5 \cdot \varepsilon\right)}{\frac{\frac{1}{b} + \left(\frac{1}{a} + 0.5 \cdot \varepsilon\right)}{\frac{1}{a} - \left(\color{blue}{\varepsilon \cdot -0.5} - \frac{1}{b}\right)}} \]

3. Recombined 3 regimes into one program.

4. Final simplification 99.6%

   \[\leadsto \begin{array}{l} \mathbf{if}\;\frac{\varepsilon \cdot \left(e^{\varepsilon \cdot \left(a + b\right)} + -1\right)}{\left(e^{\varepsilon \cdot a} + -1\right) \cdot \left(e^{\varepsilon \cdot b} + -1\right)} \leq -\infty:\\ \;\;\;\;\frac{1}{b} + \frac{1}{a}\\ \mathbf{elif}\;\frac{\varepsilon \cdot \left(e^{\varepsilon \cdot \left(a + b\right)} + -1\right)}{\left(e^{\varepsilon \cdot a} + -1\right) \cdot \left(e^{\varepsilon \cdot b} + -1\right)} \leq 5 \cdot 10^{-25}:\\ \;\;\;\;\mathsf{expm1}\left(\varepsilon \cdot \left(a + b\right)\right) \cdot \frac{\frac{\varepsilon}{\mathsf{expm1}\left(\varepsilon \cdot a\right)}}{\mathsf{expm1}\left(\varepsilon \cdot b\right)}\\ \mathbf{else}:\\ \;\;\;\;\frac{\frac{1}{b} + \left(\frac{1}{a} + \varepsilon \cdot 0.5\right)}{\frac{\frac{1}{b} + \left(\frac{1}{a} + \varepsilon \cdot 0.5\right)}{\frac{1}{a} + \left(\frac{1}{b} + \varepsilon \cdot 0.5\right)}}\\ \end{array} \]

Alternatives

Alternative 1
Accuracy	95.1%
Cost	2240

\[\begin{array}{l} t_0 := \frac{1}{b} + \left(\frac{1}{a} + \varepsilon \cdot 0.5\right)\\ \frac{t_0}{\frac{t_0}{\frac{1}{b} + \left(\frac{1}{a} + \varepsilon \cdot -0.5\right)}} \end{array} \]

Alternative 2
Accuracy	95.1%
Cost	704

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

Alternative 3
Accuracy	58.2%
Cost	589

\[\begin{array}{l} \mathbf{if}\;b \leq 6.2 \cdot 10^{-191} \lor \neg \left(b \leq 2.5 \cdot 10^{-119}\right) \land b \leq 1.46 \cdot 10^{-82}:\\ \;\;\;\;\frac{1}{b}\\ \mathbf{else}:\\ \;\;\;\;\frac{1}{a}\\ \end{array} \]

Alternative 4
Accuracy	94.7%
Cost	448

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

Alternative 5
Accuracy	3.1%
Cost	192

\[\varepsilon \cdot -0.5 \]

Alternative 6
Accuracy	47.6%
Cost	192

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

Reproduce

herbie shell --seed 2023137 
(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))))