
(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 5 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 (/ x (+ (/ 6.0 x) (* x 0.2))))
double code(double x) {
return x / ((6.0 / x) + (x * 0.2));
}
real(8) function code(x)
real(8), intent (in) :: x
code = x / ((6.0d0 / x) + (x * 0.2d0))
end function
public static double code(double x) {
return x / ((6.0 / x) + (x * 0.2));
}
def code(x): return x / ((6.0 / x) + (x * 0.2))
function code(x) return Float64(x / Float64(Float64(6.0 / x) + Float64(x * 0.2))) end
function tmp = code(x) tmp = x / ((6.0 / x) + (x * 0.2)); end
code[x_] := N[(x / N[(N[(6.0 / x), $MachinePrecision] + N[(x * 0.2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{x}{\frac{6}{x} + x \cdot 0.2}
\end{array}
Initial program 53.4%
Taylor expanded in x around 0
unpow2N/A
associate-*l*N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6498.1%
Simplified98.1%
associate-*r*N/A
flip-+N/A
clear-numN/A
un-div-invN/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
clear-numN/A
flip-+N/A
/-lowering-/.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f6498.2%
Applied egg-rr98.2%
associate-/l*N/A
clear-numN/A
un-div-invN/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
+-lowering-+.f64N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f6498.2%
Applied egg-rr98.2%
Taylor expanded in x around 0
metadata-evalN/A
lft-mult-inverseN/A
associate-*l*N/A
distribute-rgt-inN/A
+-commutativeN/A
unpow2N/A
associate-*l*N/A
*-commutativeN/A
associate-/l*N/A
*-inversesN/A
*-rgt-identityN/A
+-commutativeN/A
distribute-lft-inN/A
associate-*r/N/A
metadata-evalN/A
associate-*r/N/A
unpow2N/A
times-fracN/A
*-inversesN/A
*-lft-identityN/A
Simplified98.4%
(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 53.4%
Taylor expanded in x around 0
unpow2N/A
associate-*l*N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6498.1%
Simplified98.1%
associate-*r*N/A
flip-+N/A
clear-numN/A
un-div-invN/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
clear-numN/A
flip-+N/A
/-lowering-/.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f6498.2%
Applied egg-rr98.2%
Taylor expanded in x around 0
Simplified97.9%
associate-/l*N/A
clear-numN/A
un-div-invN/A
/-lowering-/.f64N/A
/-lowering-/.f6497.9%
Applied egg-rr97.9%
(FPCore (x) :precision binary64 (* x (/ x 6.0)))
double code(double x) {
return x * (x / 6.0);
}
real(8) function code(x)
real(8), intent (in) :: x
code = x * (x / 6.0d0)
end function
public static double code(double x) {
return x * (x / 6.0);
}
def code(x): return x * (x / 6.0)
function code(x) return Float64(x * Float64(x / 6.0)) end
function tmp = code(x) tmp = x * (x / 6.0); end
code[x_] := N[(x * N[(x / 6.0), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
x \cdot \frac{x}{6}
\end{array}
Initial program 53.4%
Taylor expanded in x around 0
unpow2N/A
associate-*l*N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6498.1%
Simplified98.1%
associate-*r*N/A
flip-+N/A
clear-numN/A
un-div-invN/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
clear-numN/A
flip-+N/A
/-lowering-/.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f6498.2%
Applied egg-rr98.2%
Taylor expanded in x around 0
Simplified97.9%
associate-/l*N/A
*-commutativeN/A
*-lowering-*.f64N/A
/-lowering-/.f6497.8%
Applied egg-rr97.8%
Final simplification97.8%
(FPCore (x) :precision binary64 (* 0.16666666666666666 (* x x)))
double code(double x) {
return 0.16666666666666666 * (x * x);
}
real(8) function code(x)
real(8), intent (in) :: x
code = 0.16666666666666666d0 * (x * x)
end function
public static double code(double x) {
return 0.16666666666666666 * (x * x);
}
def code(x): return 0.16666666666666666 * (x * x)
function code(x) return Float64(0.16666666666666666 * Float64(x * x)) end
function tmp = code(x) tmp = 0.16666666666666666 * (x * x); end
code[x_] := N[(0.16666666666666666 * N[(x * x), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
0.16666666666666666 \cdot \left(x \cdot x\right)
\end{array}
Initial program 53.4%
Taylor expanded in x around 0
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6497.8%
Simplified97.8%
(FPCore (x) :precision binary64 5.0)
double code(double x) {
return 5.0;
}
real(8) function code(x)
real(8), intent (in) :: x
code = 5.0d0
end function
public static double code(double x) {
return 5.0;
}
def code(x): return 5.0
function code(x) return 5.0 end
function tmp = code(x) tmp = 5.0; end
code[x_] := 5.0
\begin{array}{l}
\\
5
\end{array}
Initial program 53.4%
Taylor expanded in x around 0
unpow2N/A
associate-*l*N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6498.1%
Simplified98.1%
associate-*r*N/A
flip-+N/A
clear-numN/A
un-div-invN/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
clear-numN/A
flip-+N/A
/-lowering-/.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f6498.2%
Applied egg-rr98.2%
Taylor expanded in x around 0
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6498.4%
Simplified98.4%
Taylor expanded in x around inf
Simplified4.3%
(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 2024192
(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)))