Optimisation.CirclePacking:place from circle-packing-0.1.0.4, G

Average Error: 0.0 → 0.0

Time: 6.3s

Precision: binary64

Cost: 576

Math

\[\left(x + y\right) \cdot \left(z + 1\right) \]

↓

\[z \cdot \left(x + y\right) + \left(x + y\right) \]

FPCore

(FPCore (x y z) :precision binary64 (* (+ x y) (+ z 1.0)))

↓

(FPCore (x y z) :precision binary64 (+ (* z (+ x y)) (+ x y)))

C

double code(double x, double y, double z) {
	return (x + y) * (z + 1.0);
}

↓

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

Fortran

real(8) function code(x, y, z)
    real(8), intent (in) :: x
    real(8), intent (in) :: y
    real(8), intent (in) :: z
    code = (x + y) * (z + 1.0d0)
end function

↓

real(8) function code(x, y, z)
    real(8), intent (in) :: x
    real(8), intent (in) :: y
    real(8), intent (in) :: z
    code = (z * (x + y)) + (x + y)
end function

Java

public static double code(double x, double y, double z) {
	return (x + y) * (z + 1.0);
}

↓

public static double code(double x, double y, double z) {
	return (z * (x + y)) + (x + y);
}

Python

def code(x, y, z):
	return (x + y) * (z + 1.0)

↓

def code(x, y, z):
	return (z * (x + y)) + (x + y)

Julia

function code(x, y, z)
	return Float64(Float64(x + y) * Float64(z + 1.0))
end

↓

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

MATLAB

function tmp = code(x, y, z)
	tmp = (x + y) * (z + 1.0);
end

↓

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

Wolfram

code[x_, y_, z_] := N[(N[(x + y), $MachinePrecision] * N[(z + 1.0), $MachinePrecision]), $MachinePrecision]

↓

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

Derivation

1. Initial program 0.0

   \[\left(x + y\right) \cdot \left(z + 1\right) \]

2. Applied egg-rr 0.0

   \[\leadsto \color{blue}{\left(x + y\right) + \left(x + y\right) \cdot z} \]

3. Final simplification 0.0

   \[\leadsto z \cdot \left(x + y\right) + \left(x + y\right) \]

Alternatives

Alternative 1
Error	32.6
Cost	1512

\[\begin{array}{l} \mathbf{if}\;z \leq -1.6 \cdot 10^{+156}:\\ \;\;\;\;x \cdot z\\ \mathbf{elif}\;z \leq -3.4 \cdot 10^{+40}:\\ \;\;\;\;y \cdot z\\ \mathbf{elif}\;z \leq -535.2718147454776:\\ \;\;\;\;x \cdot z\\ \mathbf{elif}\;z \leq -6.747577639576872 \cdot 10^{-192}:\\ \;\;\;\;y\\ \mathbf{elif}\;z \leq -4.998424197425952 \cdot 10^{-261}:\\ \;\;\;\;x\\ \mathbf{elif}\;z \leq -5.428266031199458 \cdot 10^{-291}:\\ \;\;\;\;y\\ \mathbf{elif}\;z \leq 8.47911469577862 \cdot 10^{-242}:\\ \;\;\;\;x\\ \mathbf{elif}\;z \leq 7.122653941216803 \cdot 10^{-136}:\\ \;\;\;\;y\\ \mathbf{elif}\;z \leq 1.5838275979479375 \cdot 10^{-7}:\\ \;\;\;\;x\\ \mathbf{elif}\;z \leq 1.95 \cdot 10^{+133}:\\ \;\;\;\;x \cdot z\\ \mathbf{else}:\\ \;\;\;\;y \cdot z\\ \end{array} \]

Alternative 2
Error	32.8
Cost	1116

\[\begin{array}{l} \mathbf{if}\;z \leq -535.2718147454776:\\ \;\;\;\;y \cdot z\\ \mathbf{elif}\;z \leq -6.747577639576872 \cdot 10^{-192}:\\ \;\;\;\;y\\ \mathbf{elif}\;z \leq -4.998424197425952 \cdot 10^{-261}:\\ \;\;\;\;x\\ \mathbf{elif}\;z \leq -5.428266031199458 \cdot 10^{-291}:\\ \;\;\;\;y\\ \mathbf{elif}\;z \leq 8.47911469577862 \cdot 10^{-242}:\\ \;\;\;\;x\\ \mathbf{elif}\;z \leq 7.122653941216803 \cdot 10^{-136}:\\ \;\;\;\;y\\ \mathbf{elif}\;z \leq 6658774636180322000:\\ \;\;\;\;x\\ \mathbf{else}:\\ \;\;\;\;y \cdot z\\ \end{array} \]

Alternative 3
Error	12.7
Cost	980

\[\begin{array}{l} t_0 := x \cdot \left(z + 1\right)\\ \mathbf{if}\;z \leq -1.6 \cdot 10^{+156}:\\ \;\;\;\;x \cdot z\\ \mathbf{elif}\;z \leq -3.4 \cdot 10^{+40}:\\ \;\;\;\;y \cdot z\\ \mathbf{elif}\;z \leq -535.2718147454776:\\ \;\;\;\;t_0\\ \mathbf{elif}\;z \leq 7.266665387251684 \cdot 10^{-17}:\\ \;\;\;\;x + y\\ \mathbf{elif}\;z \leq 1.95 \cdot 10^{+133}:\\ \;\;\;\;t_0\\ \mathbf{else}:\\ \;\;\;\;y \cdot z\\ \end{array} \]

Alternative 4
Error	13.0
Cost	852

\[\begin{array}{l} \mathbf{if}\;z \leq -1.6 \cdot 10^{+156}:\\ \;\;\;\;x \cdot z\\ \mathbf{elif}\;z \leq -3.4 \cdot 10^{+40}:\\ \;\;\;\;y \cdot z\\ \mathbf{elif}\;z \leq -535.2718147454776:\\ \;\;\;\;x \cdot z\\ \mathbf{elif}\;z \leq 1.5838275979479375 \cdot 10^{-7}:\\ \;\;\;\;x + y\\ \mathbf{elif}\;z \leq 1.95 \cdot 10^{+133}:\\ \;\;\;\;x \cdot z\\ \mathbf{else}:\\ \;\;\;\;y \cdot z\\ \end{array} \]

Alternative 5
Error	1.7
Cost	584

\[\begin{array}{l} t_0 := z \cdot \left(x + y\right)\\ \mathbf{if}\;z \leq -535.2718147454776:\\ \;\;\;\;t_0\\ \mathbf{elif}\;z \leq 1.5838275979479375 \cdot 10^{-7}:\\ \;\;\;\;x + y\\ \mathbf{else}:\\ \;\;\;\;t_0\\ \end{array} \]

Alternative 6
Error	0.0
Cost	448

\[\left(z + 1\right) \cdot \left(x + y\right) \]

Alternative 7
Error	38.2
Cost	196

\[\begin{array}{l} \mathbf{if}\;x \leq -509139568013.42114:\\ \;\;\;\;x\\ \mathbf{else}:\\ \;\;\;\;y\\ \end{array} \]

Alternative 8
Error	42.9
Cost	64

\[y \]

Reproduce

herbie shell --seed 2022294 
(FPCore (x y z)
  :name "Optimisation.CirclePacking:place from circle-packing-0.1.0.4, G"
  :precision binary64
  (* (+ x y) (+ z 1.0)))