
(FPCore (x) :precision binary64 (log (/ (sinh x) x)))
double code(double x) {
return log((sinh(x) / x));
}
real(8) function code(x)
real(8), intent (in) :: x
code = log((sinh(x) / x))
end function
public static double code(double x) {
return Math.log((Math.sinh(x) / x));
}
def code(x): return math.log((math.sinh(x) / x))
function code(x) return log(Float64(sinh(x) / x)) end
function tmp = code(x) tmp = log((sinh(x) / x)); end
code[x_] := N[Log[N[(N[Sinh[x], $MachinePrecision] / x), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\log \left(\frac{\sinh x}{x}\right)
\end{array}
Sampling outcomes in binary64 precision:
Herbie found 8 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (x) :precision binary64 (log (/ (sinh x) x)))
double code(double x) {
return log((sinh(x) / x));
}
real(8) function code(x)
real(8), intent (in) :: x
code = log((sinh(x) / x))
end function
public static double code(double x) {
return Math.log((Math.sinh(x) / x));
}
def code(x): return math.log((math.sinh(x) / x))
function code(x) return log(Float64(sinh(x) / x)) end
function tmp = code(x) tmp = log((sinh(x) / x)); end
code[x_] := N[Log[N[(N[Sinh[x], $MachinePrecision] / x), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\log \left(\frac{\sinh x}{x}\right)
\end{array}
(FPCore (x)
:precision binary64
(let* ((t_0 (+ -0.005555555555555556 (* x (* x 0.0003527336860670194)))))
(/
x
(/
(+
0.027777777777777776
(* (* x x) (* t_0 (+ (* (* x x) t_0) -0.16666666666666666))))
(*
x
(+
0.004629629629629629
(* (* x (* x x)) (* (* x t_0) (* (* x x) 3.08641975308642e-5)))))))))
double code(double x) {
double t_0 = -0.005555555555555556 + (x * (x * 0.0003527336860670194));
return x / ((0.027777777777777776 + ((x * x) * (t_0 * (((x * x) * t_0) + -0.16666666666666666)))) / (x * (0.004629629629629629 + ((x * (x * x)) * ((x * t_0) * ((x * x) * 3.08641975308642e-5))))));
}
real(8) function code(x)
real(8), intent (in) :: x
real(8) :: t_0
t_0 = (-0.005555555555555556d0) + (x * (x * 0.0003527336860670194d0))
code = x / ((0.027777777777777776d0 + ((x * x) * (t_0 * (((x * x) * t_0) + (-0.16666666666666666d0))))) / (x * (0.004629629629629629d0 + ((x * (x * x)) * ((x * t_0) * ((x * x) * 3.08641975308642d-5))))))
end function
public static double code(double x) {
double t_0 = -0.005555555555555556 + (x * (x * 0.0003527336860670194));
return x / ((0.027777777777777776 + ((x * x) * (t_0 * (((x * x) * t_0) + -0.16666666666666666)))) / (x * (0.004629629629629629 + ((x * (x * x)) * ((x * t_0) * ((x * x) * 3.08641975308642e-5))))));
}
def code(x): t_0 = -0.005555555555555556 + (x * (x * 0.0003527336860670194)) return x / ((0.027777777777777776 + ((x * x) * (t_0 * (((x * x) * t_0) + -0.16666666666666666)))) / (x * (0.004629629629629629 + ((x * (x * x)) * ((x * t_0) * ((x * x) * 3.08641975308642e-5))))))
function code(x) t_0 = Float64(-0.005555555555555556 + Float64(x * Float64(x * 0.0003527336860670194))) return Float64(x / Float64(Float64(0.027777777777777776 + Float64(Float64(x * x) * Float64(t_0 * Float64(Float64(Float64(x * x) * t_0) + -0.16666666666666666)))) / Float64(x * Float64(0.004629629629629629 + Float64(Float64(x * Float64(x * x)) * Float64(Float64(x * t_0) * Float64(Float64(x * x) * 3.08641975308642e-5))))))) end
function tmp = code(x) t_0 = -0.005555555555555556 + (x * (x * 0.0003527336860670194)); tmp = x / ((0.027777777777777776 + ((x * x) * (t_0 * (((x * x) * t_0) + -0.16666666666666666)))) / (x * (0.004629629629629629 + ((x * (x * x)) * ((x * t_0) * ((x * x) * 3.08641975308642e-5)))))); end
code[x_] := Block[{t$95$0 = N[(-0.005555555555555556 + N[(x * N[(x * 0.0003527336860670194), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, N[(x / N[(N[(0.027777777777777776 + N[(N[(x * x), $MachinePrecision] * N[(t$95$0 * N[(N[(N[(x * x), $MachinePrecision] * t$95$0), $MachinePrecision] + -0.16666666666666666), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(x * N[(0.004629629629629629 + N[(N[(x * N[(x * x), $MachinePrecision]), $MachinePrecision] * N[(N[(x * t$95$0), $MachinePrecision] * N[(N[(x * x), $MachinePrecision] * 3.08641975308642e-5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := -0.005555555555555556 + x \cdot \left(x \cdot 0.0003527336860670194\right)\\
\frac{x}{\frac{0.027777777777777776 + \left(x \cdot x\right) \cdot \left(t\_0 \cdot \left(\left(x \cdot x\right) \cdot t\_0 + -0.16666666666666666\right)\right)}{x \cdot \left(0.004629629629629629 + \left(x \cdot \left(x \cdot x\right)\right) \cdot \left(\left(x \cdot t\_0\right) \cdot \left(\left(x \cdot x\right) \cdot 3.08641975308642 \cdot 10^{-5}\right)\right)\right)}}
\end{array}
\end{array}
Initial program 53.2%
Taylor expanded in x around 0
unpow2N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
sub-negN/A
metadata-evalN/A
+-commutativeN/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6497.0%
Simplified97.0%
*-commutativeN/A
flip3-+N/A
associate-*l/N/A
/-lowering-/.f64N/A
Applied egg-rr97.0%
clear-numN/A
un-div-invN/A
/-lowering-/.f64N/A
Applied egg-rr97.0%
Taylor expanded in x around 0
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6497.1%
Simplified97.1%
(FPCore (x)
:precision binary64
(let* ((t_0 (* x (+ -0.005555555555555556 (* (* x x) 0.0003527336860670194))))
(t_1 (* x t_0)))
(*
x
(/
(* x (- 0.027777777777777776 (* x (* t_0 t_1))))
(- 0.16666666666666666 t_1)))))
double code(double x) {
double t_0 = x * (-0.005555555555555556 + ((x * x) * 0.0003527336860670194));
double t_1 = x * t_0;
return x * ((x * (0.027777777777777776 - (x * (t_0 * t_1)))) / (0.16666666666666666 - t_1));
}
real(8) function code(x)
real(8), intent (in) :: x
real(8) :: t_0
real(8) :: t_1
t_0 = x * ((-0.005555555555555556d0) + ((x * x) * 0.0003527336860670194d0))
t_1 = x * t_0
code = x * ((x * (0.027777777777777776d0 - (x * (t_0 * t_1)))) / (0.16666666666666666d0 - t_1))
end function
public static double code(double x) {
double t_0 = x * (-0.005555555555555556 + ((x * x) * 0.0003527336860670194));
double t_1 = x * t_0;
return x * ((x * (0.027777777777777776 - (x * (t_0 * t_1)))) / (0.16666666666666666 - t_1));
}
def code(x): t_0 = x * (-0.005555555555555556 + ((x * x) * 0.0003527336860670194)) t_1 = x * t_0 return x * ((x * (0.027777777777777776 - (x * (t_0 * t_1)))) / (0.16666666666666666 - t_1))
function code(x) t_0 = Float64(x * Float64(-0.005555555555555556 + Float64(Float64(x * x) * 0.0003527336860670194))) t_1 = Float64(x * t_0) return Float64(x * Float64(Float64(x * Float64(0.027777777777777776 - Float64(x * Float64(t_0 * t_1)))) / Float64(0.16666666666666666 - t_1))) end
function tmp = code(x) t_0 = x * (-0.005555555555555556 + ((x * x) * 0.0003527336860670194)); t_1 = x * t_0; tmp = x * ((x * (0.027777777777777776 - (x * (t_0 * t_1)))) / (0.16666666666666666 - t_1)); end
code[x_] := Block[{t$95$0 = N[(x * N[(-0.005555555555555556 + N[(N[(x * x), $MachinePrecision] * 0.0003527336860670194), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(x * t$95$0), $MachinePrecision]}, N[(x * N[(N[(x * N[(0.027777777777777776 - N[(x * N[(t$95$0 * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(0.16666666666666666 - t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := x \cdot \left(-0.005555555555555556 + \left(x \cdot x\right) \cdot 0.0003527336860670194\right)\\
t_1 := x \cdot t\_0\\
x \cdot \frac{x \cdot \left(0.027777777777777776 - x \cdot \left(t\_0 \cdot t\_1\right)\right)}{0.16666666666666666 - t\_1}
\end{array}
\end{array}
Initial program 53.2%
Taylor expanded in x around 0
unpow2N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
sub-negN/A
metadata-evalN/A
+-commutativeN/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6497.0%
Simplified97.0%
*-commutativeN/A
flip-+N/A
associate-*l/N/A
/-lowering-/.f64N/A
Applied egg-rr97.0%
Final simplification97.0%
(FPCore (x)
:precision binary64
(*
x
(*
x
(+
0.16666666666666666
(* (* x x) (+ -0.005555555555555556 (* (* x x) 0.0003527336860670194)))))))
double code(double x) {
return x * (x * (0.16666666666666666 + ((x * x) * (-0.005555555555555556 + ((x * x) * 0.0003527336860670194)))));
}
real(8) function code(x)
real(8), intent (in) :: x
code = x * (x * (0.16666666666666666d0 + ((x * x) * ((-0.005555555555555556d0) + ((x * x) * 0.0003527336860670194d0)))))
end function
public static double code(double x) {
return x * (x * (0.16666666666666666 + ((x * x) * (-0.005555555555555556 + ((x * x) * 0.0003527336860670194)))));
}
def code(x): return x * (x * (0.16666666666666666 + ((x * x) * (-0.005555555555555556 + ((x * x) * 0.0003527336860670194)))))
function code(x) return Float64(x * Float64(x * Float64(0.16666666666666666 + Float64(Float64(x * x) * Float64(-0.005555555555555556 + Float64(Float64(x * x) * 0.0003527336860670194)))))) end
function tmp = code(x) tmp = x * (x * (0.16666666666666666 + ((x * x) * (-0.005555555555555556 + ((x * x) * 0.0003527336860670194))))); end
code[x_] := N[(x * N[(x * N[(0.16666666666666666 + N[(N[(x * x), $MachinePrecision] * N[(-0.005555555555555556 + N[(N[(x * x), $MachinePrecision] * 0.0003527336860670194), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
x \cdot \left(x \cdot \left(0.16666666666666666 + \left(x \cdot x\right) \cdot \left(-0.005555555555555556 + \left(x \cdot x\right) \cdot 0.0003527336860670194\right)\right)\right)
\end{array}
Initial program 53.2%
Taylor expanded in x around 0
unpow2N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
sub-negN/A
metadata-evalN/A
+-commutativeN/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6497.0%
Simplified97.0%
(FPCore (x) :precision binary64 (/ x (/ (+ 6.0 (* (* x x) 0.2)) x)))
double code(double x) {
return x / ((6.0 + ((x * x) * 0.2)) / x);
}
real(8) function code(x)
real(8), intent (in) :: x
code = x / ((6.0d0 + ((x * x) * 0.2d0)) / x)
end function
public static double code(double x) {
return x / ((6.0 + ((x * x) * 0.2)) / x);
}
def code(x): return x / ((6.0 + ((x * x) * 0.2)) / x)
function code(x) return Float64(x / Float64(Float64(6.0 + Float64(Float64(x * x) * 0.2)) / x)) end
function tmp = code(x) tmp = x / ((6.0 + ((x * x) * 0.2)) / x); end
code[x_] := N[(x / N[(N[(6.0 + N[(N[(x * x), $MachinePrecision] * 0.2), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{x}{\frac{6 + \left(x \cdot x\right) \cdot 0.2}{x}}
\end{array}
Initial program 53.2%
Taylor expanded in x around 0
unpow2N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
sub-negN/A
metadata-evalN/A
+-commutativeN/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6497.0%
Simplified97.0%
*-commutativeN/A
flip3-+N/A
associate-*l/N/A
/-lowering-/.f64N/A
Applied egg-rr97.0%
clear-numN/A
un-div-invN/A
/-lowering-/.f64N/A
Applied egg-rr97.0%
Taylor expanded in x around 0
/-lowering-/.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6497.0%
Simplified97.0%
(FPCore (x) :precision binary64 (* x (* x (+ 0.16666666666666666 (* (* x x) -0.005555555555555556)))))
double code(double x) {
return x * (x * (0.16666666666666666 + ((x * x) * -0.005555555555555556)));
}
real(8) function code(x)
real(8), intent (in) :: x
code = x * (x * (0.16666666666666666d0 + ((x * x) * (-0.005555555555555556d0))))
end function
public static double code(double x) {
return x * (x * (0.16666666666666666 + ((x * x) * -0.005555555555555556)));
}
def code(x): return x * (x * (0.16666666666666666 + ((x * x) * -0.005555555555555556)))
function code(x) return Float64(x * Float64(x * Float64(0.16666666666666666 + Float64(Float64(x * x) * -0.005555555555555556)))) end
function tmp = code(x) tmp = x * (x * (0.16666666666666666 + ((x * x) * -0.005555555555555556))); end
code[x_] := N[(x * N[(x * N[(0.16666666666666666 + N[(N[(x * x), $MachinePrecision] * -0.005555555555555556), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
x \cdot \left(x \cdot \left(0.16666666666666666 + \left(x \cdot x\right) \cdot -0.005555555555555556\right)\right)
\end{array}
Initial program 53.2%
Taylor expanded in x around 0
unpow2N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6496.6%
Simplified96.6%
(FPCore (x) :precision binary64 (/ x (/ 6.0 x)))
double code(double x) {
return x / (6.0 / x);
}
real(8) function code(x)
real(8), intent (in) :: x
code = x / (6.0d0 / x)
end function
public static double code(double x) {
return x / (6.0 / x);
}
def code(x): return x / (6.0 / x)
function code(x) return Float64(x / Float64(6.0 / x)) end
function tmp = code(x) tmp = x / (6.0 / x); end
code[x_] := N[(x / N[(6.0 / x), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{x}{\frac{6}{x}}
\end{array}
Initial program 53.2%
Taylor expanded in x around 0
unpow2N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
sub-negN/A
metadata-evalN/A
+-commutativeN/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6497.0%
Simplified97.0%
*-commutativeN/A
flip3-+N/A
associate-*l/N/A
/-lowering-/.f64N/A
Applied egg-rr97.0%
clear-numN/A
un-div-invN/A
/-lowering-/.f64N/A
Applied egg-rr97.0%
Taylor expanded in x around 0
/-lowering-/.f6496.5%
Simplified96.5%
(FPCore (x) :precision binary64 (* x (* x 0.16666666666666666)))
double code(double x) {
return x * (x * 0.16666666666666666);
}
real(8) function code(x)
real(8), intent (in) :: x
code = x * (x * 0.16666666666666666d0)
end function
public static double code(double x) {
return x * (x * 0.16666666666666666);
}
def code(x): return x * (x * 0.16666666666666666)
function code(x) return Float64(x * Float64(x * 0.16666666666666666)) end
function tmp = code(x) tmp = x * (x * 0.16666666666666666); end
code[x_] := N[(x * N[(x * 0.16666666666666666), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
x \cdot \left(x \cdot 0.16666666666666666\right)
\end{array}
Initial program 53.2%
Taylor expanded in x around 0
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6496.5%
Simplified96.5%
associate-*r*N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f6496.5%
Applied egg-rr96.5%
Final simplification96.5%
(FPCore (x) :precision binary64 (* (* x x) 0.16666666666666666))
double code(double x) {
return (x * x) * 0.16666666666666666;
}
real(8) function code(x)
real(8), intent (in) :: x
code = (x * x) * 0.16666666666666666d0
end function
public static double code(double x) {
return (x * x) * 0.16666666666666666;
}
def code(x): return (x * x) * 0.16666666666666666
function code(x) return Float64(Float64(x * x) * 0.16666666666666666) end
function tmp = code(x) tmp = (x * x) * 0.16666666666666666; end
code[x_] := N[(N[(x * x), $MachinePrecision] * 0.16666666666666666), $MachinePrecision]
\begin{array}{l}
\\
\left(x \cdot x\right) \cdot 0.16666666666666666
\end{array}
Initial program 53.2%
Taylor expanded in x around 0
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6496.5%
Simplified96.5%
Final simplification96.5%
(FPCore (x)
:precision binary64
(if (< (fabs x) 0.085)
(*
(* x x)
(fma
(fma
(fma -2.6455026455026456e-5 (* x x) 0.0003527336860670194)
(* x x)
-0.005555555555555556)
(* x x)
0.16666666666666666))
(log (/ (sinh x) x))))
double code(double x) {
double tmp;
if (fabs(x) < 0.085) {
tmp = (x * x) * fma(fma(fma(-2.6455026455026456e-5, (x * x), 0.0003527336860670194), (x * x), -0.005555555555555556), (x * x), 0.16666666666666666);
} else {
tmp = log((sinh(x) / x));
}
return tmp;
}
function code(x) tmp = 0.0 if (abs(x) < 0.085) tmp = Float64(Float64(x * x) * fma(fma(fma(-2.6455026455026456e-5, Float64(x * x), 0.0003527336860670194), Float64(x * x), -0.005555555555555556), Float64(x * x), 0.16666666666666666)); else tmp = log(Float64(sinh(x) / x)); end return tmp end
code[x_] := If[Less[N[Abs[x], $MachinePrecision], 0.085], N[(N[(x * x), $MachinePrecision] * N[(N[(N[(-2.6455026455026456e-5 * N[(x * x), $MachinePrecision] + 0.0003527336860670194), $MachinePrecision] * N[(x * x), $MachinePrecision] + -0.005555555555555556), $MachinePrecision] * N[(x * x), $MachinePrecision] + 0.16666666666666666), $MachinePrecision]), $MachinePrecision], N[Log[N[(N[Sinh[x], $MachinePrecision] / x), $MachinePrecision]], $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;\left|x\right| < 0.085:\\
\;\;\;\;\left(x \cdot x\right) \cdot \mathsf{fma}\left(\mathsf{fma}\left(\mathsf{fma}\left(-2.6455026455026456 \cdot 10^{-5}, x \cdot x, 0.0003527336860670194\right), x \cdot x, -0.005555555555555556\right), x \cdot x, 0.16666666666666666\right)\\
\mathbf{else}:\\
\;\;\;\;\log \left(\frac{\sinh x}{x}\right)\\
\end{array}
\end{array}
herbie shell --seed 2024161
(FPCore (x)
:name "bug500, discussion (missed optimization)"
:precision binary64
:alt
(! :herbie-platform default (if (< (fabs x) 17/200) (let ((x2 (* x x))) (* x2 (fma (fma (fma -1/37800 x2 1/2835) x2 -1/180) x2 1/6))) (log (/ (sinh x) x))))
(log (/ (sinh x) x)))