Bouland and Aaronson, Equation (26)

Average Error: 99.7% → 100.0%

Time: 15.3s

Precision: binary64

Cost: 13504.00

Math

\[\left({\left(a \cdot a + b \cdot b\right)}^{2} + 4 \cdot \left(b \cdot b\right)\right) - 1 \]

↓

\[\left({\left(\mathsf{hypot}\left(a, b\right)\right)}^{4} + b \cdot \left(b \cdot 4\right)\right) + -1 \]

FPCore

(FPCore (a b)
 :precision binary64
 (- (+ (pow (+ (* a a) (* b b)) 2.0) (* 4.0 (* b b))) 1.0))

↓

(FPCore (a b)
 :precision binary64
 (+ (+ (pow (hypot a b) 4.0) (* b (* b 4.0))) -1.0))

C

double code(double a, double b) {
	return (pow(((a * a) + (b * b)), 2.0) + (4.0 * (b * b))) - 1.0;
}

↓

double code(double a, double b) {
	return (pow(hypot(a, b), 4.0) + (b * (b * 4.0))) + -1.0;
}

Java

public static double code(double a, double b) {
	return (Math.pow(((a * a) + (b * b)), 2.0) + (4.0 * (b * b))) - 1.0;
}

↓

public static double code(double a, double b) {
	return (Math.pow(Math.hypot(a, b), 4.0) + (b * (b * 4.0))) + -1.0;
}

Python

def code(a, b):
	return (math.pow(((a * a) + (b * b)), 2.0) + (4.0 * (b * b))) - 1.0

↓

def code(a, b):
	return (math.pow(math.hypot(a, b), 4.0) + (b * (b * 4.0))) + -1.0

Julia

function code(a, b)
	return Float64(Float64((Float64(Float64(a * a) + Float64(b * b)) ^ 2.0) + Float64(4.0 * Float64(b * b))) - 1.0)
end

↓

function code(a, b)
	return Float64(Float64((hypot(a, b) ^ 4.0) + Float64(b * Float64(b * 4.0))) + -1.0)
end

MATLAB

function tmp = code(a, b)
	tmp = ((((a * a) + (b * b)) ^ 2.0) + (4.0 * (b * b))) - 1.0;
end

↓

function tmp = code(a, b)
	tmp = ((hypot(a, b) ^ 4.0) + (b * (b * 4.0))) + -1.0;
end

Wolfram

code[a_, b_] := N[(N[(N[Power[N[(N[(a * a), $MachinePrecision] + N[(b * b), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] + N[(4.0 * N[(b * b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - 1.0), $MachinePrecision]

↓

code[a_, b_] := N[(N[(N[Power[N[Sqrt[a ^ 2 + b ^ 2], $MachinePrecision], 4.0], $MachinePrecision] + N[(b * N[(b * 4.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + -1.0), $MachinePrecision]

Derivation

1. Initial program 99.7

   \[\left({\left(a \cdot a + b \cdot b\right)}^{2} + 4 \cdot \left(b \cdot b\right)\right) - 1 \]

2. Applied egg-rr 96.6

   \[\leadsto \color{blue}{\left(e^{\mathsf{log1p}\left({\left({\left(\mathsf{hypot}\left(a, b\right)\right)}^{2}\right)}^{2}\right)} - \left(1 - b \cdot \left(b \cdot 4\right)\right)\right)} - 1 \]

3. Simplified 100.0

   \[\leadsto \color{blue}{\left({\left(\mathsf{hypot}\left(a, b\right)\right)}^{4} + b \cdot \left(b \cdot 4\right)\right)} - 1 \]
   Proof

   [Start] 96.6	\[ \left(e^{\mathsf{log1p}\left({\left({\left(\mathsf{hypot}\left(a, b\right)\right)}^{2}\right)}^{2}\right)} - \left(1 - b \cdot \left(b \cdot 4\right)\right)\right) - 1 \]
   associate--r- [=>] 96.6	\[ \color{blue}{\left(\left(e^{\mathsf{log1p}\left({\left({\left(\mathsf{hypot}\left(a, b\right)\right)}^{2}\right)}^{2}\right)} - 1\right) + b \cdot \left(b \cdot 4\right)\right)} - 1 \]
   expm1-def [=>] 96.6	\[ \left(\color{blue}{\mathsf{expm1}\left(\mathsf{log1p}\left({\left({\left(\mathsf{hypot}\left(a, b\right)\right)}^{2}\right)}^{2}\right)\right)} + b \cdot \left(b \cdot 4\right)\right) - 1 \]
   expm1-log1p [=>] 99.7	\[ \left(\color{blue}{{\left({\left(\mathsf{hypot}\left(a, b\right)\right)}^{2}\right)}^{2}} + b \cdot \left(b \cdot 4\right)\right) - 1 \]
   unpow2 [=>] 99.7	\[ \left(\color{blue}{{\left(\mathsf{hypot}\left(a, b\right)\right)}^{2} \cdot {\left(\mathsf{hypot}\left(a, b\right)\right)}^{2}} + b \cdot \left(b \cdot 4\right)\right) - 1 \]
   pow-sqr [=>] 100.0	\[ \left(\color{blue}{{\left(\mathsf{hypot}\left(a, b\right)\right)}^{\left(2 \cdot 2\right)}} + b \cdot \left(b \cdot 4\right)\right) - 1 \]
   metadata-eval [=>] 100.0	\[ \left({\left(\mathsf{hypot}\left(a, b\right)\right)}^{\color{blue}{4}} + b \cdot \left(b \cdot 4\right)\right) - 1 \]

4. Final simplification 100.0

   \[\leadsto \left({\left(\mathsf{hypot}\left(a, b\right)\right)}^{4} + b \cdot \left(b \cdot 4\right)\right) + -1 \]

Alternatives

Alternative 1
Error	99.7%
Cost	7744.00

\[\left(b \cdot \left(b \cdot 4\right) + \mathsf{fma}\left(b, b, a \cdot a\right) \cdot \left(a \cdot a + b \cdot b\right)\right) + -1 \]

Alternative 2
Error	96.8%
Cost	1480.00

\[\begin{array}{l} \mathbf{if}\;b \leq -3.4:\\ \;\;\;\;\left(b \cdot b\right) \cdot \left(4 + b \cdot b\right) + -1\\ \mathbf{elif}\;b \leq 13.5:\\ \;\;\;\;\left(b \cdot \left(b \cdot 4\right) + \left(a \cdot a\right) \cdot \left(a \cdot a + b \cdot b\right)\right) + -1\\ \mathbf{else}:\\ \;\;\;\;\left(b \cdot b\right) \cdot \left(b \cdot b\right) + \left(b \cdot b\right) \cdot \left(4 + \left(a \cdot a\right) \cdot 2\right)\\ \end{array} \]

Alternative 3
Error	99.7%
Cost	1472.00

\[\begin{array}{l} t_0 := a \cdot a + b \cdot b\\ \left(b \cdot \left(b \cdot 4\right) + t_0 \cdot t_0\right) + -1 \end{array} \]

Alternative 4
Error	80.0%
Cost	708.00

\[\begin{array}{l} \mathbf{if}\;b \cdot b \leq 0.001:\\ \;\;\;\;b \cdot \left(b \cdot 4\right) + -1\\ \mathbf{else}:\\ \;\;\;\;\left(b \cdot b\right) \cdot \left(b \cdot b\right)\\ \end{array} \]

Alternative 5
Error	81.2%
Cost	704.00

\[\left(b \cdot b\right) \cdot \left(4 + b \cdot b\right) + -1 \]

Alternative 6
Error	19.8%
Cost	448.00

\[\left(b \cdot b\right) \cdot \left(b \cdot b\right) \]

Reproduce

herbie shell --seed 2023093 
(FPCore (a b)
  :name "Bouland and Aaronson, Equation (26)"
  :precision binary64
  (- (+ (pow (+ (* a a) (* b b)) 2.0) (* 4.0 (* b b))) 1.0))