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

Average Error: 0.1 → 0.1

Time: 7.0s

Precision: binary64

Cost: 576

Math

\[\frac{\left(x + y\right) - z}{t \cdot 2} \]

↓

\[\frac{\left(x + y\right) - z}{t \cdot 2} \]

FPCore

(FPCore (x y z t) :precision binary64 (/ (- (+ x y) z) (* t 2.0)))

↓

(FPCore (x y z t) :precision binary64 (/ (- (+ x y) z) (* t 2.0)))

C

double code(double x, double y, double z, double t) {
	return ((x + y) - z) / (t * 2.0);
}

↓

double code(double x, double y, double z, double t) {
	return ((x + y) - z) / (t * 2.0);
}

Fortran

real(8) function code(x, y, z, t)
    real(8), intent (in) :: x
    real(8), intent (in) :: y
    real(8), intent (in) :: z
    real(8), intent (in) :: t
    code = ((x + y) - z) / (t * 2.0d0)
end function

↓

real(8) function code(x, y, z, t)
    real(8), intent (in) :: x
    real(8), intent (in) :: y
    real(8), intent (in) :: z
    real(8), intent (in) :: t
    code = ((x + y) - z) / (t * 2.0d0)
end function

Java

public static double code(double x, double y, double z, double t) {
	return ((x + y) - z) / (t * 2.0);
}

↓

public static double code(double x, double y, double z, double t) {
	return ((x + y) - z) / (t * 2.0);
}

Python

def code(x, y, z, t):
	return ((x + y) - z) / (t * 2.0)

↓

def code(x, y, z, t):
	return ((x + y) - z) / (t * 2.0)

Julia

function code(x, y, z, t)
	return Float64(Float64(Float64(x + y) - z) / Float64(t * 2.0))
end

↓

function code(x, y, z, t)
	return Float64(Float64(Float64(x + y) - z) / Float64(t * 2.0))
end

MATLAB

function tmp = code(x, y, z, t)
	tmp = ((x + y) - z) / (t * 2.0);
end

↓

function tmp = code(x, y, z, t)
	tmp = ((x + y) - z) / (t * 2.0);
end

Wolfram

code[x_, y_, z_, t_] := N[(N[(N[(x + y), $MachinePrecision] - z), $MachinePrecision] / N[(t * 2.0), $MachinePrecision]), $MachinePrecision]

↓

code[x_, y_, z_, t_] := N[(N[(N[(x + y), $MachinePrecision] - z), $MachinePrecision] / N[(t * 2.0), $MachinePrecision]), $MachinePrecision]

Derivation

1. Initial program 0.1

   \[\frac{\left(x + y\right) - z}{t \cdot 2} \]

2. Final simplification 0.1

   \[\leadsto \frac{\left(x + y\right) - z}{t \cdot 2} \]

Alternatives

Alternative 1
Error	35.6
Cost	1510

\[\begin{array}{l} t_1 := \frac{x}{\frac{t}{0.5}}\\ t_2 := z \cdot \frac{-0.5}{t}\\ \mathbf{if}\;x \leq -1.6 \cdot 10^{+96}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;x \leq -1.18 \cdot 10^{+78}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;x \leq -3.3 \cdot 10^{+40}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;x \leq -7.6 \cdot 10^{+14}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;x \leq -1.75 \cdot 10^{-33}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;x \leq -5.3 \cdot 10^{-112} \lor \neg \left(x \leq -6.2 \cdot 10^{-194}\right) \land \left(x \leq -8 \cdot 10^{-277} \lor \neg \left(x \leq 3.5 \cdot 10^{-156}\right)\right):\\ \;\;\;\;\frac{y}{\frac{t}{0.5}}\\ \mathbf{else}:\\ \;\;\;\;t_2\\ \end{array} \]

Alternative 2
Error	35.6
Cost	1510

\[\begin{array}{l} t_1 := \frac{x}{\frac{t}{0.5}}\\ t_2 := \frac{z \cdot -0.5}{t}\\ \mathbf{if}\;x \leq -7.5 \cdot 10^{+101}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;x \leq -6.9 \cdot 10^{+78}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;x \leq -3.9 \cdot 10^{+40}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;x \leq -86000000000000:\\ \;\;\;\;t_2\\ \mathbf{elif}\;x \leq -1.15 \cdot 10^{-33}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;x \leq -2.5 \cdot 10^{-112} \lor \neg \left(x \leq -2.65 \cdot 10^{-202} \lor \neg \left(x \leq -5.4 \cdot 10^{-279}\right) \land x \leq 3.2 \cdot 10^{-180}\right):\\ \;\;\;\;\frac{y}{\frac{t}{0.5}}\\ \mathbf{else}:\\ \;\;\;\;t_2\\ \end{array} \]

Alternative 3
Error	30.8
Cost	585

\[\begin{array}{l} \mathbf{if}\;z \leq -4 \cdot 10^{+24} \lor \neg \left(z \leq 1.7 \cdot 10^{-38}\right):\\ \;\;\;\;z \cdot \frac{-0.5}{t}\\ \mathbf{else}:\\ \;\;\;\;\frac{x}{\frac{t}{0.5}}\\ \end{array} \]

Alternative 4
Error	18.0
Cost	580

\[\begin{array}{l} \mathbf{if}\;y \leq 6.8 \cdot 10^{-14}:\\ \;\;\;\;\frac{-0.5}{t} \cdot \left(z - x\right)\\ \mathbf{else}:\\ \;\;\;\;\frac{y}{\frac{t}{0.5}}\\ \end{array} \]

Alternative 5
Error	14.9
Cost	580

\[\begin{array}{l} \mathbf{if}\;y \leq 1.7 \cdot 10^{-15}:\\ \;\;\;\;\frac{-0.5}{t} \cdot \left(z - x\right)\\ \mathbf{else}:\\ \;\;\;\;\left(x + y\right) \cdot \frac{0.5}{t}\\ \end{array} \]

Alternative 6
Error	15.2
Cost	580

\[\begin{array}{l} \mathbf{if}\;y \leq 3.8 \cdot 10^{-24}:\\ \;\;\;\;\frac{-0.5}{t} \cdot \left(z - x\right)\\ \mathbf{else}:\\ \;\;\;\;\frac{-0.5}{\frac{t}{z - y}}\\ \end{array} \]

Alternative 7
Error	15.1
Cost	580

\[\begin{array}{l} \mathbf{if}\;y \leq 6.4 \cdot 10^{-24}:\\ \;\;\;\;\frac{-0.5 \cdot \left(z - x\right)}{t}\\ \mathbf{else}:\\ \;\;\;\;\frac{-0.5}{\frac{t}{z - y}}\\ \end{array} \]

Alternative 8
Error	0.3
Cost	576

\[\left(z - \left(x + y\right)\right) \cdot \frac{-0.5}{t} \]

Alternative 9
Error	41.7
Cost	320

\[z \cdot \frac{-0.5}{t} \]

Reproduce

herbie shell --seed 2022364 
(FPCore (x y z t)
  :name "Optimisation.CirclePacking:place from circle-packing-0.1.0.4, B"
  :precision binary64
  (/ (- (+ x y) z) (* t 2.0)))