Linear.Quaternion:$ctanh from linear-1.19.1.3

Average Error: 4.39% → 0.44%

Time: 11.0s

Precision: binary64

Cost: 20680

Math

\[\frac{x \cdot \frac{\sin y}{y}}{z} \]

↓

\[\begin{array}{l} t_0 := \frac{\sin y}{y}\\ t_1 := \frac{x \cdot t_0}{z}\\ \mathbf{if}\;t_1 \leq -1 \cdot 10^{-64}:\\ \;\;\;\;\frac{x}{\frac{z}{t_0}}\\ \mathbf{elif}\;t_1 \leq 5 \cdot 10^{-232}:\\ \;\;\;\;\sin y \cdot \frac{\frac{x}{z}}{y}\\ \mathbf{else}:\\ \;\;\;\;t_1\\ \end{array} \]

FPCore

(FPCore (x y z) :precision binary64 (/ (* x (/ (sin y) y)) z))

↓

(FPCore (x y z)
 :precision binary64
 (let* ((t_0 (/ (sin y) y)) (t_1 (/ (* x t_0) z)))
   (if (<= t_1 -1e-64)
     (/ x (/ z t_0))
     (if (<= t_1 5e-232) (* (sin y) (/ (/ x z) y)) t_1))))

C

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

↓

double code(double x, double y, double z) {
	double t_0 = sin(y) / y;
	double t_1 = (x * t_0) / z;
	double tmp;
	if (t_1 <= -1e-64) {
		tmp = x / (z / t_0);
	} else if (t_1 <= 5e-232) {
		tmp = sin(y) * ((x / z) / y);
	} else {
		tmp = t_1;
	}
	return tmp;
}

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 * (sin(y) / y)) / 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
    real(8) :: t_0
    real(8) :: t_1
    real(8) :: tmp
    t_0 = sin(y) / y
    t_1 = (x * t_0) / z
    if (t_1 <= (-1d-64)) then
        tmp = x / (z / t_0)
    else if (t_1 <= 5d-232) then
        tmp = sin(y) * ((x / z) / y)
    else
        tmp = t_1
    end if
    code = tmp
end function

Java

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

↓

public static double code(double x, double y, double z) {
	double t_0 = Math.sin(y) / y;
	double t_1 = (x * t_0) / z;
	double tmp;
	if (t_1 <= -1e-64) {
		tmp = x / (z / t_0);
	} else if (t_1 <= 5e-232) {
		tmp = Math.sin(y) * ((x / z) / y);
	} else {
		tmp = t_1;
	}
	return tmp;
}

Python

def code(x, y, z):
	return (x * (math.sin(y) / y)) / z

↓

def code(x, y, z):
	t_0 = math.sin(y) / y
	t_1 = (x * t_0) / z
	tmp = 0
	if t_1 <= -1e-64:
		tmp = x / (z / t_0)
	elif t_1 <= 5e-232:
		tmp = math.sin(y) * ((x / z) / y)
	else:
		tmp = t_1
	return tmp

Julia

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

↓

function code(x, y, z)
	t_0 = Float64(sin(y) / y)
	t_1 = Float64(Float64(x * t_0) / z)
	tmp = 0.0
	if (t_1 <= -1e-64)
		tmp = Float64(x / Float64(z / t_0));
	elseif (t_1 <= 5e-232)
		tmp = Float64(sin(y) * Float64(Float64(x / z) / y));
	else
		tmp = t_1;
	end
	return tmp
end

MATLAB

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

↓

function tmp_2 = code(x, y, z)
	t_0 = sin(y) / y;
	t_1 = (x * t_0) / z;
	tmp = 0.0;
	if (t_1 <= -1e-64)
		tmp = x / (z / t_0);
	elseif (t_1 <= 5e-232)
		tmp = sin(y) * ((x / z) / y);
	else
		tmp = t_1;
	end
	tmp_2 = tmp;
end

Wolfram

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

↓

code[x_, y_, z_] := Block[{t$95$0 = N[(N[Sin[y], $MachinePrecision] / y), $MachinePrecision]}, Block[{t$95$1 = N[(N[(x * t$95$0), $MachinePrecision] / z), $MachinePrecision]}, If[LessEqual[t$95$1, -1e-64], N[(x / N[(z / t$95$0), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$1, 5e-232], N[(N[Sin[y], $MachinePrecision] * N[(N[(x / z), $MachinePrecision] / y), $MachinePrecision]), $MachinePrecision], t$95$1]]]]

Target

Original	4.39%
Target	0.48%
Herbie	0.44%

\[\begin{array}{l} \mathbf{if}\;z < -4.2173720203427147 \cdot 10^{-29}:\\ \;\;\;\;\frac{x \cdot \frac{1}{\frac{y}{\sin y}}}{z}\\ \mathbf{elif}\;z < 4.446702369113811 \cdot 10^{+64}:\\ \;\;\;\;\frac{x}{z \cdot \frac{y}{\sin y}}\\ \mathbf{else}:\\ \;\;\;\;\frac{x \cdot \frac{1}{\frac{y}{\sin y}}}{z}\\ \end{array} \]

Derivation

1. Split input into 3 regimes

2. if (/.f64 (*.f64 x (/.f64 (sin.f64 y) y)) z) < -9.99999999999999965e-65

   1. Initial program 0.4

      \[\frac{x \cdot \frac{\sin y}{y}}{z} \]

   2. Simplified 0.72

      \[\leadsto \color{blue}{\frac{x}{\frac{z}{\frac{\sin y}{y}}}} \]
      Proof

      [Start] 0.4	\[ \frac{x \cdot \frac{\sin y}{y}}{z} \]
      associate-/l* [=>] 0.72	\[ \color{blue}{\frac{x}{\frac{z}{\frac{\sin y}{y}}}} \]

   if -9.99999999999999965e-65 < (/.f64 (*.f64 x (/.f64 (sin.f64 y) y)) z) < 4.9999999999999999e-232

   1. Initial program 9.18

      \[\frac{x \cdot \frac{\sin y}{y}}{z} \]

   2. Simplified 6.32

      \[\leadsto \color{blue}{\frac{x}{\frac{z}{\frac{\sin y}{y}}}} \]
      Proof

      [Start] 9.18	\[ \frac{x \cdot \frac{\sin y}{y}}{z} \]
      associate-/l* [=>] 6.32	\[ \color{blue}{\frac{x}{\frac{z}{\frac{\sin y}{y}}}} \]

   3. Applied egg-rr 0.23

      \[\leadsto \color{blue}{\frac{\frac{x}{z}}{y} \cdot \sin y} \]

   if 4.9999999999999999e-232 < (/.f64 (*.f64 x (/.f64 (sin.f64 y) y)) z)

   1. Initial program 0.53

      \[\frac{x \cdot \frac{\sin y}{y}}{z} \]
3. Recombined 3 regimes into one program.

4. Final simplification 0.44

   \[\leadsto \begin{array}{l} \mathbf{if}\;\frac{x \cdot \frac{\sin y}{y}}{z} \leq -1 \cdot 10^{-64}:\\ \;\;\;\;\frac{x}{\frac{z}{\frac{\sin y}{y}}}\\ \mathbf{elif}\;\frac{x \cdot \frac{\sin y}{y}}{z} \leq 5 \cdot 10^{-232}:\\ \;\;\;\;\sin y \cdot \frac{\frac{x}{z}}{y}\\ \mathbf{else}:\\ \;\;\;\;\frac{x \cdot \frac{\sin y}{y}}{z}\\ \end{array} \]

Alternatives

Alternative 1
Error	4.59%
Cost	7113

\[\begin{array}{l} \mathbf{if}\;y \leq -0.0005 \lor \neg \left(y \leq 2.8 \cdot 10^{-6}\right):\\ \;\;\;\;x \cdot \frac{\sin y}{y \cdot z}\\ \mathbf{else}:\\ \;\;\;\;\frac{x \cdot \left(1 + -0.16666666666666666 \cdot \left(y \cdot y\right)\right)}{z}\\ \end{array} \]

Alternative 2
Error	4.51%
Cost	7112

\[\begin{array}{l} \mathbf{if}\;y \leq -5 \cdot 10^{-6}:\\ \;\;\;\;x \cdot \frac{\sin y}{y \cdot z}\\ \mathbf{elif}\;y \leq 3 \cdot 10^{-10}:\\ \;\;\;\;\frac{x \cdot \left(1 + -0.16666666666666666 \cdot \left(y \cdot y\right)\right)}{z}\\ \mathbf{else}:\\ \;\;\;\;\sin y \cdot \frac{\frac{x}{y}}{z}\\ \end{array} \]

Alternative 3
Error	3.85%
Cost	7112

\[\begin{array}{l} \mathbf{if}\;z \leq -3.7 \cdot 10^{+15}:\\ \;\;\;\;x \cdot \frac{\sin y}{y \cdot z}\\ \mathbf{elif}\;z \leq 1.05 \cdot 10^{-6}:\\ \;\;\;\;\frac{x}{y \cdot \frac{z}{\sin y}}\\ \mathbf{else}:\\ \;\;\;\;\sin y \cdot \frac{\frac{x}{z}}{y}\\ \end{array} \]

Alternative 4
Error	4.61%
Cost	6848

\[\frac{x}{\frac{z}{\frac{\sin y}{y}}} \]

Alternative 5
Error	35.04%
Cost	1097

\[\begin{array}{l} \mathbf{if}\;y \leq -18000000000 \lor \neg \left(y \leq 1.12 \cdot 10^{+38}\right):\\ \;\;\;\;\frac{x}{y \cdot \left(\left(y \cdot z\right) \cdot 0.16666666666666666 + \frac{z}{y}\right)}\\ \mathbf{else}:\\ \;\;\;\;\frac{x \cdot \left(1 + -0.16666666666666666 \cdot \left(y \cdot y\right)\right)}{z}\\ \end{array} \]

Alternative 6
Error	35.4%
Cost	969

\[\begin{array}{l} \mathbf{if}\;y \leq -15500000000 \lor \neg \left(y \leq 1.5 \cdot 10^{+37}\right):\\ \;\;\;\;\left(\frac{x}{z} + 1\right) + -1\\ \mathbf{else}:\\ \;\;\;\;\frac{x}{\frac{z}{1 + y \cdot \left(y \cdot -0.16666666666666666\right)}}\\ \end{array} \]

Alternative 7
Error	35.41%
Cost	969

\[\begin{array}{l} \mathbf{if}\;y \leq -18000000000 \lor \neg \left(y \leq 1.06 \cdot 10^{+37}\right):\\ \;\;\;\;\left(\frac{x}{z} + 1\right) + -1\\ \mathbf{else}:\\ \;\;\;\;\frac{x \cdot \left(1 + -0.16666666666666666 \cdot \left(y \cdot y\right)\right)}{z}\\ \end{array} \]

Alternative 8
Error	35.57%
Cost	713

\[\begin{array}{l} \mathbf{if}\;y \leq -3.2 \lor \neg \left(y \leq 1.3 \cdot 10^{+50}\right):\\ \;\;\;\;\left(\frac{x}{z} + 1\right) + -1\\ \mathbf{else}:\\ \;\;\;\;\frac{x}{z}\\ \end{array} \]

Alternative 9
Error	43.92%
Cost	192

\[\frac{x}{z} \]

Reproduce

herbie shell --seed 2023102 
(FPCore (x y z)
  :name "Linear.Quaternion:$ctanh from linear-1.19.1.3"
  :precision binary64

  :herbie-target
  (if (< z -4.2173720203427147e-29) (/ (* x (/ 1.0 (/ y (sin y)))) z) (if (< z 4.446702369113811e+64) (/ x (* z (/ y (sin y)))) (/ (* x (/ 1.0 (/ y (sin y)))) z)))

  (/ (* x (/ (sin y) y)) z))