Average Error: 0.2 → 0.2
Time: 6.7s
Precision: binary64
\[\cosh x \cdot \frac{\sin y}{y} \]
\[\frac{-\sin y \cdot \cosh x}{-y} \]
(FPCore (x y) :precision binary64 (* (cosh x) (/ (sin y) y)))
(FPCore (x y) :precision binary64 (/ (- (* (sin y) (cosh x))) (- y)))
double code(double x, double y) {
	return cosh(x) * (sin(y) / y);
}
double code(double x, double y) {
	return -(sin(y) * cosh(x)) / -y;
}
real(8) function code(x, y)
    real(8), intent (in) :: x
    real(8), intent (in) :: y
    code = cosh(x) * (sin(y) / y)
end function
real(8) function code(x, y)
    real(8), intent (in) :: x
    real(8), intent (in) :: y
    code = -(sin(y) * cosh(x)) / -y
end function
public static double code(double x, double y) {
	return Math.cosh(x) * (Math.sin(y) / y);
}
public static double code(double x, double y) {
	return -(Math.sin(y) * Math.cosh(x)) / -y;
}
def code(x, y):
	return math.cosh(x) * (math.sin(y) / y)
def code(x, y):
	return -(math.sin(y) * math.cosh(x)) / -y
function code(x, y)
	return Float64(cosh(x) * Float64(sin(y) / y))
end
function code(x, y)
	return Float64(Float64(-Float64(sin(y) * cosh(x))) / Float64(-y))
end
function tmp = code(x, y)
	tmp = cosh(x) * (sin(y) / y);
end
function tmp = code(x, y)
	tmp = -(sin(y) * cosh(x)) / -y;
end
code[x_, y_] := N[(N[Cosh[x], $MachinePrecision] * N[(N[Sin[y], $MachinePrecision] / y), $MachinePrecision]), $MachinePrecision]
code[x_, y_] := N[((-N[(N[Sin[y], $MachinePrecision] * N[Cosh[x], $MachinePrecision]), $MachinePrecision]) / (-y)), $MachinePrecision]
\cosh x \cdot \frac{\sin y}{y}
\frac{-\sin y \cdot \cosh x}{-y}

Error

Bits error versus x

Bits error versus y

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Target

Original0.2
Target0.2
Herbie0.2
\[\frac{\cosh x \cdot \sin y}{y} \]

Derivation

  1. Initial program 0.2

    \[\cosh x \cdot \frac{\sin y}{y} \]
  2. Applied egg-rr0.3

    \[\leadsto \cosh x \cdot \color{blue}{\left(\sin y \cdot \frac{1}{y}\right)} \]
  3. Applied egg-rr0.2

    \[\leadsto \color{blue}{\frac{\left(\sin y \cdot \cosh x\right) \cdot -1}{-y}} \]
  4. Final simplification0.2

    \[\leadsto \frac{-\sin y \cdot \cosh x}{-y} \]

Reproduce

herbie shell --seed 2022131 
(FPCore (x y)
  :name "Linear.Quaternion:$csinh from linear-1.19.1.3"
  :precision binary64

  :herbie-target
  (/ (* (cosh x) (sin y)) y)

  (* (cosh x) (/ (sin y) y)))