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

Average Accuracy: 100.0% → 100.0%

Time: 5.1s

Precision: binary64

Cost: 704

Math

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

↓

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

FPCore

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

↓

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

C

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

↓

double code(double x, double y, double z) {
	return ((1.0 - z) * x) + ((1.0 - z) * 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) * (1.0d0 - z)
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 = ((1.0d0 - z) * x) + ((1.0d0 - z) * y)
end function

Java

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

↓

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

Python

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

↓

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

Julia

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

↓

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

MATLAB

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

↓

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

Wolfram

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

↓

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

Derivation

1. Initial program 100.0%

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

2. Taylor expanded in x around 0 100.0%

   \[\leadsto \color{blue}{\left(1 - z\right) \cdot x + y \cdot \left(1 - z\right)} \]

3. Final simplification 100.0%

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

Alternatives

Alternative 1
Accuracy	79.9%
Cost	1360

\[\begin{array}{l} t_0 := z \cdot \left(-x\right)\\ t_1 := \left(1 - z\right) \cdot y\\ \mathbf{if}\;1 - z \leq -4 \cdot 10^{+91}:\\ \;\;\;\;t_0\\ \mathbf{elif}\;1 - z \leq 0.999999999999992:\\ \;\;\;\;t_1\\ \mathbf{elif}\;1 - z \leq 1.0002:\\ \;\;\;\;x + y\\ \mathbf{elif}\;1 - z \leq 5000000000:\\ \;\;\;\;t_1\\ \mathbf{else}:\\ \;\;\;\;t_0\\ \end{array} \]

Alternative 2
Accuracy	97.4%
Cost	905

\[\begin{array}{l} \mathbf{if}\;1 - z \leq -0.5 \lor \neg \left(1 - z \leq 2\right):\\ \;\;\;\;\left(x + y\right) \cdot \left(-z\right)\\ \mathbf{else}:\\ \;\;\;\;x + y\\ \end{array} \]

Alternative 3
Accuracy	61.6%
Cost	717

\[\begin{array}{l} \mathbf{if}\;y \leq 8.6 \cdot 10^{-81}:\\ \;\;\;\;\left(1 - z\right) \cdot x\\ \mathbf{elif}\;y \leq 16200000000 \lor \neg \left(y \leq 3.2 \cdot 10^{+94}\right):\\ \;\;\;\;\left(1 - z\right) \cdot y\\ \mathbf{else}:\\ \;\;\;\;x + y\\ \end{array} \]

Alternative 4
Accuracy	79.5%
Cost	652

\[\begin{array}{l} t_0 := z \cdot \left(-x\right)\\ \mathbf{if}\;z \leq -550:\\ \;\;\;\;t_0\\ \mathbf{elif}\;z \leq 1:\\ \;\;\;\;x + y\\ \mathbf{elif}\;z \leq 4.3 \cdot 10^{+91}:\\ \;\;\;\;z \cdot \left(-y\right)\\ \mathbf{else}:\\ \;\;\;\;t_0\\ \end{array} \]

Alternative 5
Accuracy	79.5%
Cost	521

\[\begin{array}{l} \mathbf{if}\;z \leq -550 \lor \neg \left(z \leq 1\right):\\ \;\;\;\;z \cdot \left(-x\right)\\ \mathbf{else}:\\ \;\;\;\;x + y\\ \end{array} \]

Alternative 6
Accuracy	100.0%
Cost	448

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

Alternative 7
Accuracy	40.2%
Cost	196

\[\begin{array}{l} \mathbf{if}\;y \leq 8.5 \cdot 10^{-82}:\\ \;\;\;\;x\\ \mathbf{else}:\\ \;\;\;\;y\\ \end{array} \]

Alternative 8
Accuracy	63.3%
Cost	192

\[x + y \]

Alternative 9
Accuracy	32.6%
Cost	64

\[x \]

Reproduce

herbie shell --seed 2023138 
(FPCore (x y z)
  :name "Optimisation.CirclePacking:place from circle-packing-0.1.0.4, H"
  :precision binary64
  (* (+ x y) (- 1.0 z)))