Average Error: 15.2 → 0.5
Time: 8.7s
Precision: binary64
\[\frac{\left(\frac{8}{3} \cdot \sin \left(x \cdot 0.5\right)\right) \cdot \sin \left(x \cdot 0.5\right)}{\sin x} \]
\[\begin{array}{l} t_0 := \sin \left(x \cdot 0.5\right)\\ \frac{t_0 \cdot 2.6666666666666665}{\frac{\sin x}{t_0}} \end{array} \]
(FPCore (x)
 :precision binary64
 (/ (* (* (/ 8.0 3.0) (sin (* x 0.5))) (sin (* x 0.5))) (sin x)))
(FPCore (x)
 :precision binary64
 (let* ((t_0 (sin (* x 0.5)))) (/ (* t_0 2.6666666666666665) (/ (sin x) t_0))))
double code(double x) {
	return (((8.0 / 3.0) * sin((x * 0.5))) * sin((x * 0.5))) / sin(x);
}
double code(double x) {
	double t_0 = sin((x * 0.5));
	return (t_0 * 2.6666666666666665) / (sin(x) / t_0);
}
real(8) function code(x)
    real(8), intent (in) :: x
    code = (((8.0d0 / 3.0d0) * sin((x * 0.5d0))) * sin((x * 0.5d0))) / sin(x)
end function
real(8) function code(x)
    real(8), intent (in) :: x
    real(8) :: t_0
    t_0 = sin((x * 0.5d0))
    code = (t_0 * 2.6666666666666665d0) / (sin(x) / t_0)
end function
public static double code(double x) {
	return (((8.0 / 3.0) * Math.sin((x * 0.5))) * Math.sin((x * 0.5))) / Math.sin(x);
}
public static double code(double x) {
	double t_0 = Math.sin((x * 0.5));
	return (t_0 * 2.6666666666666665) / (Math.sin(x) / t_0);
}
def code(x):
	return (((8.0 / 3.0) * math.sin((x * 0.5))) * math.sin((x * 0.5))) / math.sin(x)
def code(x):
	t_0 = math.sin((x * 0.5))
	return (t_0 * 2.6666666666666665) / (math.sin(x) / t_0)
function code(x)
	return Float64(Float64(Float64(Float64(8.0 / 3.0) * sin(Float64(x * 0.5))) * sin(Float64(x * 0.5))) / sin(x))
end
function code(x)
	t_0 = sin(Float64(x * 0.5))
	return Float64(Float64(t_0 * 2.6666666666666665) / Float64(sin(x) / t_0))
end
function tmp = code(x)
	tmp = (((8.0 / 3.0) * sin((x * 0.5))) * sin((x * 0.5))) / sin(x);
end
function tmp = code(x)
	t_0 = sin((x * 0.5));
	tmp = (t_0 * 2.6666666666666665) / (sin(x) / t_0);
end
code[x_] := N[(N[(N[(N[(8.0 / 3.0), $MachinePrecision] * N[Sin[N[(x * 0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[Sin[N[(x * 0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / N[Sin[x], $MachinePrecision]), $MachinePrecision]
code[x_] := Block[{t$95$0 = N[Sin[N[(x * 0.5), $MachinePrecision]], $MachinePrecision]}, N[(N[(t$95$0 * 2.6666666666666665), $MachinePrecision] / N[(N[Sin[x], $MachinePrecision] / t$95$0), $MachinePrecision]), $MachinePrecision]]
\frac{\left(\frac{8}{3} \cdot \sin \left(x \cdot 0.5\right)\right) \cdot \sin \left(x \cdot 0.5\right)}{\sin x}
\begin{array}{l}
t_0 := \sin \left(x \cdot 0.5\right)\\
\frac{t_0 \cdot 2.6666666666666665}{\frac{\sin x}{t_0}}
\end{array}

Error

Bits error versus x

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Target

Original15.2
Target0.3
Herbie0.5
\[\frac{\frac{8 \cdot \sin \left(x \cdot 0.5\right)}{3}}{\frac{\sin x}{\sin \left(x \cdot 0.5\right)}} \]

Derivation

  1. Initial program 15.2

    \[\frac{\left(\frac{8}{3} \cdot \sin \left(x \cdot 0.5\right)\right) \cdot \sin \left(x \cdot 0.5\right)}{\sin x} \]
  2. Simplified15.2

    \[\leadsto \color{blue}{\frac{\sin \left(x \cdot 0.5\right) \cdot \left(2.6666666666666665 \cdot \sin \left(x \cdot 0.5\right)\right)}{\sin x}} \]
  3. Applied egg-rr0.5

    \[\leadsto \color{blue}{\frac{\sin \left(x \cdot 0.5\right)}{\sin x} \cdot \left(\sin \left(x \cdot 0.5\right) \cdot 2.6666666666666665\right)} \]
  4. Applied egg-rr0.5

    \[\leadsto \color{blue}{\frac{\sin \left(x \cdot 0.5\right) \cdot 2.6666666666666665}{\frac{\sin x}{\sin \left(x \cdot 0.5\right)}}} \]
  5. Final simplification0.5

    \[\leadsto \frac{\sin \left(x \cdot 0.5\right) \cdot 2.6666666666666665}{\frac{\sin x}{\sin \left(x \cdot 0.5\right)}} \]

Reproduce

herbie shell --seed 2022145 
(FPCore (x)
  :name "Graphics.Rasterific.Svg.PathConverter:segmentToBezier from rasterific-svg-0.2.3.1, A"
  :precision binary64

  :herbie-target
  (/ (/ (* 8.0 (sin (* x 0.5))) 3.0) (/ (sin x) (sin (* x 0.5))))

  (/ (* (* (/ 8.0 3.0) (sin (* x 0.5))) (sin (* x 0.5))) (sin x)))