Data.Array.Repa.Algorithms.Pixel:doubleRmsOfRGB8 from repa-algorithms-3.4.0.1

Average Accuracy: 40.1% → 99.4%

Time: 9.2s

Precision: binary64

Cost: 19520

Math

\[\sqrt{\frac{\left(x \cdot x + y \cdot y\right) + z \cdot z}{3}} \]

↓

\[\frac{\mathsf{hypot}\left(z, \mathsf{hypot}\left(y, x\right)\right)}{\sqrt{3}} \]

FPCore

(FPCore (x y z)
 :precision binary64
 (sqrt (/ (+ (+ (* x x) (* y y)) (* z z)) 3.0)))

↓

(FPCore (x y z) :precision binary64 (/ (hypot z (hypot y x)) (sqrt 3.0)))

C

double code(double x, double y, double z) {
	return sqrt(((((x * x) + (y * y)) + (z * z)) / 3.0));
}

↓

double code(double x, double y, double z) {
	return hypot(z, hypot(y, x)) / sqrt(3.0);
}

Java

public static double code(double x, double y, double z) {
	return Math.sqrt(((((x * x) + (y * y)) + (z * z)) / 3.0));
}

↓

public static double code(double x, double y, double z) {
	return Math.hypot(z, Math.hypot(y, x)) / Math.sqrt(3.0);
}

Python

def code(x, y, z):
	return math.sqrt(((((x * x) + (y * y)) + (z * z)) / 3.0))

↓

def code(x, y, z):
	return math.hypot(z, math.hypot(y, x)) / math.sqrt(3.0)

Julia

function code(x, y, z)
	return sqrt(Float64(Float64(Float64(Float64(x * x) + Float64(y * y)) + Float64(z * z)) / 3.0))
end

↓

function code(x, y, z)
	return Float64(hypot(z, hypot(y, x)) / sqrt(3.0))
end

MATLAB

function tmp = code(x, y, z)
	tmp = sqrt(((((x * x) + (y * y)) + (z * z)) / 3.0));
end

↓

function tmp = code(x, y, z)
	tmp = hypot(z, hypot(y, x)) / sqrt(3.0);
end

Wolfram

code[x_, y_, z_] := N[Sqrt[N[(N[(N[(N[(x * x), $MachinePrecision] + N[(y * y), $MachinePrecision]), $MachinePrecision] + N[(z * z), $MachinePrecision]), $MachinePrecision] / 3.0), $MachinePrecision]], $MachinePrecision]

↓

code[x_, y_, z_] := N[(N[Sqrt[z ^ 2 + N[Sqrt[y ^ 2 + x ^ 2], $MachinePrecision] ^ 2], $MachinePrecision] / N[Sqrt[3.0], $MachinePrecision]), $MachinePrecision]

Target

Original	40.1%
Target	59.6%
Herbie	99.4%

\[\begin{array}{l} \mathbf{if}\;z < -6.396479394109776 \cdot 10^{+136}:\\ \;\;\;\;\frac{-z}{\sqrt{3}}\\ \mathbf{elif}\;z < 7.320293694404182 \cdot 10^{+117}:\\ \;\;\;\;\frac{\sqrt{\left(z \cdot z + x \cdot x\right) + y \cdot y}}{\sqrt{3}}\\ \mathbf{else}:\\ \;\;\;\;\sqrt{0.3333333333333333} \cdot z\\ \end{array} \]

Derivation

1. Initial program 40.1%

   \[\sqrt{\frac{\left(x \cdot x + y \cdot y\right) + z \cdot z}{3}} \]

2. Applied egg-rr 98.7%

   \[\leadsto \color{blue}{\mathsf{hypot}\left(z, \mathsf{hypot}\left(x, y\right)\right) \cdot \frac{1}{\sqrt{3}}} \]
   Proof

   [Start] 40.1	\[ \sqrt{\frac{\left(x \cdot x + y \cdot y\right) + z \cdot z}{3}} \]
   sqrt-div [=>] 39.9	\[ \color{blue}{\frac{\sqrt{\left(x \cdot x + y \cdot y\right) + z \cdot z}}{\sqrt{3}}} \]
   div-inv [=>] 39.6	\[ \color{blue}{\sqrt{\left(x \cdot x + y \cdot y\right) + z \cdot z} \cdot \frac{1}{\sqrt{3}}} \]
   +-commutative [=>] 39.6	\[ \sqrt{\color{blue}{z \cdot z + \left(x \cdot x + y \cdot y\right)}} \cdot \frac{1}{\sqrt{3}} \]
   add-sqr-sqrt [=>] 39.6	\[ \sqrt{z \cdot z + \color{blue}{\sqrt{x \cdot x + y \cdot y} \cdot \sqrt{x \cdot x + y \cdot y}}} \cdot \frac{1}{\sqrt{3}} \]
   hypot-def [=>] 54.0	\[ \color{blue}{\mathsf{hypot}\left(z, \sqrt{x \cdot x + y \cdot y}\right)} \cdot \frac{1}{\sqrt{3}} \]
   hypot-def [=>] 98.7	\[ \mathsf{hypot}\left(z, \color{blue}{\mathsf{hypot}\left(x, y\right)}\right) \cdot \frac{1}{\sqrt{3}} \]

3. Simplified 99.4%

   \[\leadsto \color{blue}{\frac{\mathsf{hypot}\left(z, \mathsf{hypot}\left(y, x\right)\right)}{\sqrt{3}}} \]
   Proof

   [Start] 98.7	\[ \mathsf{hypot}\left(z, \mathsf{hypot}\left(x, y\right)\right) \cdot \frac{1}{\sqrt{3}} \]
   associate-*r/ [=>] 99.4	\[ \color{blue}{\frac{\mathsf{hypot}\left(z, \mathsf{hypot}\left(x, y\right)\right) \cdot 1}{\sqrt{3}}} \]
   *-rgt-identity [=>] 99.4	\[ \frac{\color{blue}{\mathsf{hypot}\left(z, \mathsf{hypot}\left(x, y\right)\right)}}{\sqrt{3}} \]
   hypot-def [<=] 54.4	\[ \frac{\mathsf{hypot}\left(z, \color{blue}{\sqrt{x \cdot x + y \cdot y}}\right)}{\sqrt{3}} \]
   unpow2 [<=] 54.4	\[ \frac{\mathsf{hypot}\left(z, \sqrt{\color{blue}{{x}^{2}} + y \cdot y}\right)}{\sqrt{3}} \]
   unpow2 [<=] 54.4	\[ \frac{\mathsf{hypot}\left(z, \sqrt{{x}^{2} + \color{blue}{{y}^{2}}}\right)}{\sqrt{3}} \]
   +-commutative [<=] 54.4	\[ \frac{\mathsf{hypot}\left(z, \sqrt{\color{blue}{{y}^{2} + {x}^{2}}}\right)}{\sqrt{3}} \]
   unpow2 [=>] 54.4	\[ \frac{\mathsf{hypot}\left(z, \sqrt{\color{blue}{y \cdot y} + {x}^{2}}\right)}{\sqrt{3}} \]
   unpow2 [=>] 54.4	\[ \frac{\mathsf{hypot}\left(z, \sqrt{y \cdot y + \color{blue}{x \cdot x}}\right)}{\sqrt{3}} \]
   hypot-def [=>] 99.4	\[ \frac{\mathsf{hypot}\left(z, \color{blue}{\mathsf{hypot}\left(y, x\right)}\right)}{\sqrt{3}} \]

4. Final simplification 99.4%

   \[\leadsto \frac{\mathsf{hypot}\left(z, \mathsf{hypot}\left(y, x\right)\right)}{\sqrt{3}} \]

Alternatives

Alternative 1
Accuracy	72.4%
Cost	13716

\[\begin{array}{l} t_0 := \mathsf{hypot}\left(y, x\right) \cdot \sqrt{0.3333333333333333}\\ \mathbf{if}\;z \leq 1.3 \cdot 10^{-68}:\\ \;\;\;\;t_0\\ \mathbf{elif}\;z \leq 2.6 \cdot 10^{-30}:\\ \;\;\;\;\sqrt{0.3333333333333333 \cdot \left(z \cdot z + x \cdot x\right)}\\ \mathbf{elif}\;z \leq 240000000:\\ \;\;\;\;t_0\\ \mathbf{elif}\;z \leq 5 \cdot 10^{+51}:\\ \;\;\;\;\sqrt{\frac{z \cdot z + \left(x \cdot x + y \cdot y\right)}{3}}\\ \mathbf{elif}\;z \leq 4.6 \cdot 10^{+90}:\\ \;\;\;\;t_0\\ \mathbf{else}:\\ \;\;\;\;z \cdot \sqrt{0.3333333333333333}\\ \end{array} \]

Alternative 2
Accuracy	67.2%
Cost	13056

\[\sqrt{0.3333333333333333} \cdot \mathsf{hypot}\left(z, x\right) \]

Alternative 3
Accuracy	30.5%
Cost	7760

\[\begin{array}{l} t_0 := \frac{-x}{\sqrt{3}}\\ \mathbf{if}\;z \leq 1.1 \cdot 10^{-68}:\\ \;\;\;\;t_0\\ \mathbf{elif}\;z \leq 1.15 \cdot 10^{-29}:\\ \;\;\;\;\sqrt{0.3333333333333333 \cdot \left(z \cdot z + x \cdot x\right)}\\ \mathbf{elif}\;z \leq 130000000:\\ \;\;\;\;t_0\\ \mathbf{elif}\;z \leq 8.8 \cdot 10^{+52}:\\ \;\;\;\;\sqrt{\frac{z \cdot z + \left(x \cdot x + y \cdot y\right)}{3}}\\ \mathbf{elif}\;z \leq 4 \cdot 10^{+90}:\\ \;\;\;\;t_0\\ \mathbf{else}:\\ \;\;\;\;z \cdot \sqrt{0.3333333333333333}\\ \end{array} \]

Alternative 4
Accuracy	30.2%
Cost	7632

\[\begin{array}{l} t_0 := \frac{-x}{\sqrt{3}}\\ \mathbf{if}\;z \leq 1.3 \cdot 10^{-68}:\\ \;\;\;\;t_0\\ \mathbf{elif}\;z \leq 2.6 \cdot 10^{-28}:\\ \;\;\;\;\sqrt{0.3333333333333333 \cdot \left(z \cdot z + x \cdot x\right)}\\ \mathbf{elif}\;z \leq 270000000:\\ \;\;\;\;t_0\\ \mathbf{elif}\;z \leq 4.3 \cdot 10^{+52}:\\ \;\;\;\;\sqrt{0.3333333333333333 \cdot \left(z \cdot z\right) + 0.3333333333333333 \cdot \left(x \cdot x\right)}\\ \mathbf{elif}\;z \leq 3.9 \cdot 10^{+90}:\\ \;\;\;\;t_0\\ \mathbf{else}:\\ \;\;\;\;z \cdot \sqrt{0.3333333333333333}\\ \end{array} \]

Alternative 5
Accuracy	30.1%
Cost	7504

\[\begin{array}{l} t_0 := \frac{-x}{\sqrt{3}}\\ t_1 := \sqrt{0.3333333333333333 \cdot \left(z \cdot z + x \cdot x\right)}\\ \mathbf{if}\;z \leq 1.3 \cdot 10^{-68}:\\ \;\;\;\;t_0\\ \mathbf{elif}\;z \leq 3.2 \cdot 10^{-30}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;z \leq 800000000:\\ \;\;\;\;t_0\\ \mathbf{elif}\;z \leq 4.3 \cdot 10^{+52}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;z \leq 3.9 \cdot 10^{+90}:\\ \;\;\;\;t_0\\ \mathbf{else}:\\ \;\;\;\;z \cdot \sqrt{0.3333333333333333}\\ \end{array} \]

Alternative 6
Accuracy	27.5%
Cost	6916

\[\begin{array}{l} \mathbf{if}\;z \cdot z \leq 2 \cdot 10^{+181}:\\ \;\;\;\;\frac{-x}{\sqrt{3}}\\ \mathbf{else}:\\ \;\;\;\;z \cdot \sqrt{0.3333333333333333}\\ \end{array} \]

Alternative 7
Accuracy	30.0%
Cost	6788

\[\begin{array}{l} \mathbf{if}\;x \leq -0.035:\\ \;\;\;\;\sqrt{0.3333333333333333} \cdot \left(-x\right)\\ \mathbf{else}:\\ \;\;\;\;z \cdot \sqrt{0.3333333333333333}\\ \end{array} \]

Alternative 8
Accuracy	18.4%
Cost	6592

\[z \cdot \sqrt{0.3333333333333333} \]

Reproduce

herbie shell --seed 2023133 
(FPCore (x y z)
  :name "Data.Array.Repa.Algorithms.Pixel:doubleRmsOfRGB8 from repa-algorithms-3.4.0.1"
  :precision binary64

  :herbie-target
  (if (< z -6.396479394109776e+136) (/ (- z) (sqrt 3.0)) (if (< z 7.320293694404182e+117) (/ (sqrt (+ (+ (* z z) (* x x)) (* y y))) (sqrt 3.0)) (* (sqrt 0.3333333333333333) z)))

  (sqrt (/ (+ (+ (* x x) (* y y)) (* z z)) 3.0)))