Quotient of sum of exps

Average Error: 0.7 → 0.0

Time: 4.5s

Precision: binary64

Cost: 6848

Math

\[\frac{e^{a}}{e^{a} + e^{b}} \]

↓

\[\frac{1}{1 + e^{b - a}} \]

FPCore

(FPCore (a b) :precision binary64 (/ (exp a) (+ (exp a) (exp b))))

↓

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

C

double code(double a, double b) {
	return exp(a) / (exp(a) + exp(b));
}

↓

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

Fortran

real(8) function code(a, b)
    real(8), intent (in) :: a
    real(8), intent (in) :: b
    code = exp(a) / (exp(a) + exp(b))
end function

↓

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

Java

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

↓

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

Python

def code(a, b):
	return math.exp(a) / (math.exp(a) + math.exp(b))

↓

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

Julia

function code(a, b)
	return Float64(exp(a) / Float64(exp(a) + exp(b)))
end

↓

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

MATLAB

function tmp = code(a, b)
	tmp = exp(a) / (exp(a) + exp(b));
end

↓

function tmp = code(a, b)
	tmp = 1.0 / (1.0 + exp((b - a)));
end

Wolfram

code[a_, b_] := N[(N[Exp[a], $MachinePrecision] / N[(N[Exp[a], $MachinePrecision] + N[Exp[b], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]

↓

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

Target

Original	0.7
Target	0.0
Herbie	0.0

\[\frac{1}{1 + e^{b - a}} \]

Derivation

1. Initial program 0.7

   \[\frac{e^{a}}{e^{a} + e^{b}} \]

2. Applied egg-rr 0.7

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

3. Taylor expanded in a around inf 0.7

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

4. Simplified 0.0

   \[\leadsto \color{blue}{\frac{1}{1 + e^{b - a}}} \]
   Proof
   (/.f64 1 (+.f64 1 (exp.f64 (-.f64 b a)))): 0 points increase in error, 0 points decrease in error
   (/.f64 1 (+.f64 1 (exp.f64 (Rewrite<= unsub-neg_binary64 (+.f64 b (neg.f64 a)))))): 0 points increase in error, 0 points decrease in error
   (/.f64 1 (+.f64 1 (Rewrite<= prod-exp_binary64 (*.f64 (exp.f64 b) (exp.f64 (neg.f64 a)))))): 0 points increase in error, 0 points decrease in error
   (/.f64 1 (+.f64 (Rewrite<= rgt-mult-inverse_binary64 (*.f64 (exp.f64 a) (/.f64 1 (exp.f64 a)))) (*.f64 (exp.f64 b) (exp.f64 (neg.f64 a))))): 74 points increase in error, 0 points decrease in error
   (/.f64 1 (+.f64 (*.f64 (exp.f64 a) (Rewrite=> rec-exp_binary64 (exp.f64 (neg.f64 a)))) (*.f64 (exp.f64 b) (exp.f64 (neg.f64 a))))): 3 points increase in error, 0 points decrease in error
   (/.f64 1 (Rewrite<= distribute-rgt-in_binary64 (*.f64 (exp.f64 (neg.f64 a)) (+.f64 (exp.f64 a) (exp.f64 b))))): 1 points increase in error, 72 points decrease in error
   (/.f64 1 (*.f64 (Rewrite<= rec-exp_binary64 (/.f64 1 (exp.f64 a))) (+.f64 (exp.f64 a) (exp.f64 b)))): 0 points increase in error, 3 points decrease in error
   (/.f64 1 (Rewrite=> associate-*l/_binary64 (/.f64 (*.f64 1 (+.f64 (exp.f64 a) (exp.f64 b))) (exp.f64 a)))): 0 points increase in error, 0 points decrease in error
   (/.f64 1 (/.f64 (Rewrite=> *-lft-identity_binary64 (+.f64 (exp.f64 a) (exp.f64 b))) (exp.f64 a))): 0 points increase in error, 0 points decrease in error
   (Rewrite<= associate-/l*_binary64 (/.f64 (*.f64 1 (exp.f64 a)) (+.f64 (exp.f64 a) (exp.f64 b)))): 1 points increase in error, 0 points decrease in error
   (/.f64 (Rewrite=> *-lft-identity_binary64 (exp.f64 a)) (+.f64 (exp.f64 a) (exp.f64 b))): 0 points increase in error, 0 points decrease in error

5. Final simplification 0.0

   \[\leadsto \frac{1}{1 + e^{b - a}} \]

Alternatives

Alternative 1
Error	1.1
Cost	19848

\[\begin{array}{l} \mathbf{if}\;e^{b} \leq 0.998:\\ \;\;\;\;\frac{1}{1 + e^{b}}\\ \mathbf{elif}\;e^{b} \leq 1:\\ \;\;\;\;\frac{1}{1 + e^{-a}}\\ \mathbf{else}:\\ \;\;\;\;0\\ \end{array} \]

Alternative 2
Error	1.2
Cost	13252

\[\begin{array}{l} \mathbf{if}\;e^{a} \leq 0.9995:\\ \;\;\;\;\frac{e^{a}}{2}\\ \mathbf{else}:\\ \;\;\;\;\frac{1}{1 + e^{b}}\\ \end{array} \]

Alternative 3
Error	11.2
Cost	6724

\[\begin{array}{l} \mathbf{if}\;b \leq 4.4 \cdot 10^{-10}:\\ \;\;\;\;\frac{e^{a}}{2}\\ \mathbf{else}:\\ \;\;\;\;0\\ \end{array} \]

Alternative 4
Error	25.7
Cost	1244

\[\begin{array}{l} t_0 := 0.5 + a \cdot 0.25\\ \mathbf{if}\;b \leq -1.55 \cdot 10^{-103}:\\ \;\;\;\;t_0\\ \mathbf{elif}\;b \leq -1 \cdot 10^{-118}:\\ \;\;\;\;0\\ \mathbf{elif}\;b \leq -3.6 \cdot 10^{-146}:\\ \;\;\;\;t_0\\ \mathbf{elif}\;b \leq -1.85 \cdot 10^{-262}:\\ \;\;\;\;0\\ \mathbf{elif}\;b \leq 9 \cdot 10^{-266}:\\ \;\;\;\;0.5\\ \mathbf{elif}\;b \leq 8.5 \cdot 10^{-195}:\\ \;\;\;\;0\\ \mathbf{elif}\;b \leq 2.65 \cdot 10^{-14}:\\ \;\;\;\;t_0\\ \mathbf{else}:\\ \;\;\;\;0\\ \end{array} \]

Alternative 5
Error	24.1
Cost	988

\[\begin{array}{l} \mathbf{if}\;b \leq -1.55 \cdot 10^{-103}:\\ \;\;\;\;0.5\\ \mathbf{elif}\;b \leq -8.5 \cdot 10^{-119}:\\ \;\;\;\;0\\ \mathbf{elif}\;b \leq -3.5 \cdot 10^{-232}:\\ \;\;\;\;0.5\\ \mathbf{elif}\;b \leq -1.85 \cdot 10^{-262}:\\ \;\;\;\;0\\ \mathbf{elif}\;b \leq 10^{-265}:\\ \;\;\;\;0.5\\ \mathbf{elif}\;b \leq 8 \cdot 10^{-195}:\\ \;\;\;\;0\\ \mathbf{elif}\;b \leq 4.5 \cdot 10^{-11}:\\ \;\;\;\;0.5\\ \mathbf{else}:\\ \;\;\;\;0\\ \end{array} \]

Alternative 6
Error	13.0
Cost	708

\[\begin{array}{l} \mathbf{if}\;a \leq -240:\\ \;\;\;\;0\\ \mathbf{else}:\\ \;\;\;\;\left(1 + \frac{1}{b + 2}\right) + -1\\ \end{array} \]

Alternative 7
Error	38.8
Cost	64

\[0.5 \]

Reproduce

herbie shell --seed 2022321 
(FPCore (a b)
  :name "Quotient of sum of exps"
  :precision binary64

  :herbie-target
  (/ 1.0 (+ 1.0 (exp (- b a))))

  (/ (exp a) (+ (exp a) (exp b))))