exp-w crasher

Average Error: 0.3 → 0.3

Time: 12.9s

Precision: binary64

Cost: 19520

Math

\[e^{-w} \cdot {\ell}^{\left(e^{w}\right)} \]

↓

\[e^{-w} \cdot {\ell}^{\left(e^{w}\right)} \]

FPCore

(FPCore (w l) :precision binary64 (* (exp (- w)) (pow l (exp w))))

↓

(FPCore (w l) :precision binary64 (* (exp (- w)) (pow l (exp w))))

C

double code(double w, double l) {
	return exp(-w) * pow(l, exp(w));
}

↓

double code(double w, double l) {
	return exp(-w) * pow(l, exp(w));
}

Fortran

real(8) function code(w, l)
    real(8), intent (in) :: w
    real(8), intent (in) :: l
    code = exp(-w) * (l ** exp(w))
end function

↓

real(8) function code(w, l)
    real(8), intent (in) :: w
    real(8), intent (in) :: l
    code = exp(-w) * (l ** exp(w))
end function

Java

public static double code(double w, double l) {
	return Math.exp(-w) * Math.pow(l, Math.exp(w));
}

↓

public static double code(double w, double l) {
	return Math.exp(-w) * Math.pow(l, Math.exp(w));
}

Python

def code(w, l):
	return math.exp(-w) * math.pow(l, math.exp(w))

↓

def code(w, l):
	return math.exp(-w) * math.pow(l, math.exp(w))

Julia

function code(w, l)
	return Float64(exp(Float64(-w)) * (l ^ exp(w)))
end

↓

function code(w, l)
	return Float64(exp(Float64(-w)) * (l ^ exp(w)))
end

MATLAB

function tmp = code(w, l)
	tmp = exp(-w) * (l ^ exp(w));
end

↓

function tmp = code(w, l)
	tmp = exp(-w) * (l ^ exp(w));
end

Wolfram

code[w_, l_] := N[(N[Exp[(-w)], $MachinePrecision] * N[Power[l, N[Exp[w], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]

↓

code[w_, l_] := N[(N[Exp[(-w)], $MachinePrecision] * N[Power[l, N[Exp[w], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]

Derivation

1. Initial program 0.3

   \[e^{-w} \cdot {\ell}^{\left(e^{w}\right)} \]

2. Final simplification 0.3

   \[\leadsto e^{-w} \cdot {\ell}^{\left(e^{w}\right)} \]

Alternatives

Alternative 1
Error	0.3
Cost	19456

\[\frac{{\ell}^{\left(e^{w}\right)}}{e^{w}} \]

Alternative 2
Error	1.3
Cost	13376

\[\frac{\ell \cdot \left(w \cdot \log \ell + 1\right)}{e^{w}} \]

Alternative 3
Error	1.3
Cost	13376

\[\frac{\ell + \ell \cdot \left(w \cdot \log \ell\right)}{e^{w}} \]

Alternative 4
Error	1.2
Cost	7108

\[\begin{array}{l} \mathbf{if}\;w \leq 0.021:\\ \;\;\;\;\frac{\ell}{1 + w \cdot \left(1 - \log \ell\right)}\\ \mathbf{else}:\\ \;\;\;\;\left(1 + \frac{\ell}{e^{w}}\right) + -1\\ \end{array} \]

Alternative 5
Error	2.3
Cost	6724

\[\begin{array}{l} \mathbf{if}\;w \leq 0.057:\\ \;\;\;\;\ell \cdot e^{w}\\ \mathbf{else}:\\ \;\;\;\;1 + \left(\ell + -1\right)\\ \end{array} \]

Alternative 6
Error	1.8
Cost	6656

\[e^{-w} \cdot \ell \]

Alternative 7
Error	1.8
Cost	6592

\[\frac{\ell}{e^{w}} \]

Alternative 8
Error	2.3
Cost	452

\[\begin{array}{l} \mathbf{if}\;w \leq 0.096:\\ \;\;\;\;\ell\\ \mathbf{else}:\\ \;\;\;\;1 + \left(\ell + -1\right)\\ \end{array} \]

Alternative 9
Error	13.7
Cost	64

\[\ell \]

Reproduce

herbie shell --seed 2022331 
(FPCore (w l)
  :name "exp-w crasher"
  :precision binary64
  (* (exp (- w)) (pow l (exp w))))