
(FPCore (x) :precision binary64 (* (/ 1.0 2.0) (log (/ (+ 1.0 x) (- 1.0 x)))))
double code(double x) {
return (1.0 / 2.0) * log(((1.0 + x) / (1.0 - x)));
}
real(8) function code(x)
real(8), intent (in) :: x
code = (1.0d0 / 2.0d0) * log(((1.0d0 + x) / (1.0d0 - x)))
end function
public static double code(double x) {
return (1.0 / 2.0) * Math.log(((1.0 + x) / (1.0 - x)));
}
def code(x): return (1.0 / 2.0) * math.log(((1.0 + x) / (1.0 - x)))
function code(x) return Float64(Float64(1.0 / 2.0) * log(Float64(Float64(1.0 + x) / Float64(1.0 - x)))) end
function tmp = code(x) tmp = (1.0 / 2.0) * log(((1.0 + x) / (1.0 - x))); end
code[x_] := N[(N[(1.0 / 2.0), $MachinePrecision] * N[Log[N[(N[(1.0 + x), $MachinePrecision] / N[(1.0 - x), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{1}{2} \cdot \log \left(\frac{1 + x}{1 - x}\right)
\end{array}
Sampling outcomes in binary64 precision:
Herbie found 10 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (x) :precision binary64 (* (/ 1.0 2.0) (log (/ (+ 1.0 x) (- 1.0 x)))))
double code(double x) {
return (1.0 / 2.0) * log(((1.0 + x) / (1.0 - x)));
}
real(8) function code(x)
real(8), intent (in) :: x
code = (1.0d0 / 2.0d0) * log(((1.0d0 + x) / (1.0d0 - x)))
end function
public static double code(double x) {
return (1.0 / 2.0) * Math.log(((1.0 + x) / (1.0 - x)));
}
def code(x): return (1.0 / 2.0) * math.log(((1.0 + x) / (1.0 - x)))
function code(x) return Float64(Float64(1.0 / 2.0) * log(Float64(Float64(1.0 + x) / Float64(1.0 - x)))) end
function tmp = code(x) tmp = (1.0 / 2.0) * log(((1.0 + x) / (1.0 - x))); end
code[x_] := N[(N[(1.0 / 2.0), $MachinePrecision] * N[Log[N[(N[(1.0 + x), $MachinePrecision] / N[(1.0 - x), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{1}{2} \cdot \log \left(\frac{1 + x}{1 - x}\right)
\end{array}
(FPCore (x) :precision binary64 (* 0.5 (- (* 2.0 (log1p x)) (log1p (- 0.0 (* x x))))))
double code(double x) {
return 0.5 * ((2.0 * log1p(x)) - log1p((0.0 - (x * x))));
}
public static double code(double x) {
return 0.5 * ((2.0 * Math.log1p(x)) - Math.log1p((0.0 - (x * x))));
}
def code(x): return 0.5 * ((2.0 * math.log1p(x)) - math.log1p((0.0 - (x * x))))
function code(x) return Float64(0.5 * Float64(Float64(2.0 * log1p(x)) - log1p(Float64(0.0 - Float64(x * x))))) end
code[x_] := N[(0.5 * N[(N[(2.0 * N[Log[1 + x], $MachinePrecision]), $MachinePrecision] - N[Log[1 + N[(0.0 - N[(x * x), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
0.5 \cdot \left(2 \cdot \mathsf{log1p}\left(x\right) - \mathsf{log1p}\left(0 - x \cdot x\right)\right)
\end{array}
Initial program 8.7%
Applied egg-rr100.0%
metadata-eval100.0%
Applied egg-rr100.0%
Final simplification100.0%
(FPCore (x)
:precision binary64
(/
x
(+
1.0
(*
x
(*
x
(+
-0.3333333333333333
(*
x
(* x (+ -0.08888888888888889 (* (* x x) -0.04656084656084656))))))))))
double code(double x) {
return x / (1.0 + (x * (x * (-0.3333333333333333 + (x * (x * (-0.08888888888888889 + ((x * x) * -0.04656084656084656))))))));
}
real(8) function code(x)
real(8), intent (in) :: x
code = x / (1.0d0 + (x * (x * ((-0.3333333333333333d0) + (x * (x * ((-0.08888888888888889d0) + ((x * x) * (-0.04656084656084656d0)))))))))
end function
public static double code(double x) {
return x / (1.0 + (x * (x * (-0.3333333333333333 + (x * (x * (-0.08888888888888889 + ((x * x) * -0.04656084656084656))))))));
}
def code(x): return x / (1.0 + (x * (x * (-0.3333333333333333 + (x * (x * (-0.08888888888888889 + ((x * x) * -0.04656084656084656))))))))
function code(x) return Float64(x / Float64(1.0 + Float64(x * Float64(x * Float64(-0.3333333333333333 + Float64(x * Float64(x * Float64(-0.08888888888888889 + Float64(Float64(x * x) * -0.04656084656084656))))))))) end
function tmp = code(x) tmp = x / (1.0 + (x * (x * (-0.3333333333333333 + (x * (x * (-0.08888888888888889 + ((x * x) * -0.04656084656084656)))))))); end
code[x_] := N[(x / N[(1.0 + N[(x * N[(x * N[(-0.3333333333333333 + N[(x * N[(x * N[(-0.08888888888888889 + N[(N[(x * x), $MachinePrecision] * -0.04656084656084656), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{x}{1 + x \cdot \left(x \cdot \left(-0.3333333333333333 + x \cdot \left(x \cdot \left(-0.08888888888888889 + \left(x \cdot x\right) \cdot -0.04656084656084656\right)\right)\right)\right)}
\end{array}
Initial program 8.7%
Taylor expanded in x around 0
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
unpow2N/A
associate-*r*N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f6499.7%
Simplified99.7%
*-commutativeN/A
flip-+N/A
associate-*l/N/A
clear-numN/A
/-lowering-/.f64N/A
Applied egg-rr99.5%
Taylor expanded in x around 0
/-lowering-/.f64N/A
Simplified99.5%
clear-numN/A
/-lowering-/.f64N/A
+-lowering-+.f64N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f6499.7%
Applied egg-rr99.7%
(FPCore (x) :precision binary64 (+ x (* (+ 0.3333333333333333 (* x (* x (+ 0.2 (* (* x x) 0.14285714285714285))))) (* x (* x x)))))
double code(double x) {
return x + ((0.3333333333333333 + (x * (x * (0.2 + ((x * x) * 0.14285714285714285))))) * (x * (x * x)));
}
real(8) function code(x)
real(8), intent (in) :: x
code = x + ((0.3333333333333333d0 + (x * (x * (0.2d0 + ((x * x) * 0.14285714285714285d0))))) * (x * (x * x)))
end function
public static double code(double x) {
return x + ((0.3333333333333333 + (x * (x * (0.2 + ((x * x) * 0.14285714285714285))))) * (x * (x * x)));
}
def code(x): return x + ((0.3333333333333333 + (x * (x * (0.2 + ((x * x) * 0.14285714285714285))))) * (x * (x * x)))
function code(x) return Float64(x + Float64(Float64(0.3333333333333333 + Float64(x * Float64(x * Float64(0.2 + Float64(Float64(x * x) * 0.14285714285714285))))) * Float64(x * Float64(x * x)))) end
function tmp = code(x) tmp = x + ((0.3333333333333333 + (x * (x * (0.2 + ((x * x) * 0.14285714285714285))))) * (x * (x * x))); end
code[x_] := N[(x + N[(N[(0.3333333333333333 + N[(x * N[(x * N[(0.2 + N[(N[(x * x), $MachinePrecision] * 0.14285714285714285), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(x * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
x + \left(0.3333333333333333 + x \cdot \left(x \cdot \left(0.2 + \left(x \cdot x\right) \cdot 0.14285714285714285\right)\right)\right) \cdot \left(x \cdot \left(x \cdot x\right)\right)
\end{array}
Initial program 8.7%
Taylor expanded in x around 0
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
unpow2N/A
associate-*r*N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f6499.7%
Simplified99.7%
+-commutativeN/A
distribute-rgt-inN/A
*-lft-identityN/A
+-lowering-+.f64N/A
Applied egg-rr99.7%
Final simplification99.7%
(FPCore (x)
:precision binary64
(*
x
(+
1.0
(*
(* x x)
(+
0.3333333333333333
(* (* x x) (+ 0.2 (* x (* x 0.14285714285714285)))))))))
double code(double x) {
return x * (1.0 + ((x * x) * (0.3333333333333333 + ((x * x) * (0.2 + (x * (x * 0.14285714285714285)))))));
}
real(8) function code(x)
real(8), intent (in) :: x
code = x * (1.0d0 + ((x * x) * (0.3333333333333333d0 + ((x * x) * (0.2d0 + (x * (x * 0.14285714285714285d0)))))))
end function
public static double code(double x) {
return x * (1.0 + ((x * x) * (0.3333333333333333 + ((x * x) * (0.2 + (x * (x * 0.14285714285714285)))))));
}
def code(x): return x * (1.0 + ((x * x) * (0.3333333333333333 + ((x * x) * (0.2 + (x * (x * 0.14285714285714285)))))))
function code(x) return Float64(x * Float64(1.0 + Float64(Float64(x * x) * Float64(0.3333333333333333 + Float64(Float64(x * x) * Float64(0.2 + Float64(x * Float64(x * 0.14285714285714285)))))))) end
function tmp = code(x) tmp = x * (1.0 + ((x * x) * (0.3333333333333333 + ((x * x) * (0.2 + (x * (x * 0.14285714285714285))))))); end
code[x_] := N[(x * N[(1.0 + N[(N[(x * x), $MachinePrecision] * N[(0.3333333333333333 + N[(N[(x * x), $MachinePrecision] * N[(0.2 + N[(x * N[(x * 0.14285714285714285), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
x \cdot \left(1 + \left(x \cdot x\right) \cdot \left(0.3333333333333333 + \left(x \cdot x\right) \cdot \left(0.2 + x \cdot \left(x \cdot 0.14285714285714285\right)\right)\right)\right)
\end{array}
Initial program 8.7%
Taylor expanded in x around 0
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
unpow2N/A
associate-*r*N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f6499.7%
Simplified99.7%
(FPCore (x) :precision binary64 (/ x (+ 1.0 (* x (* x (+ -0.3333333333333333 (* x (* x -0.08888888888888889))))))))
double code(double x) {
return x / (1.0 + (x * (x * (-0.3333333333333333 + (x * (x * -0.08888888888888889))))));
}
real(8) function code(x)
real(8), intent (in) :: x
code = x / (1.0d0 + (x * (x * ((-0.3333333333333333d0) + (x * (x * (-0.08888888888888889d0)))))))
end function
public static double code(double x) {
return x / (1.0 + (x * (x * (-0.3333333333333333 + (x * (x * -0.08888888888888889))))));
}
def code(x): return x / (1.0 + (x * (x * (-0.3333333333333333 + (x * (x * -0.08888888888888889))))))
function code(x) return Float64(x / Float64(1.0 + Float64(x * Float64(x * Float64(-0.3333333333333333 + Float64(x * Float64(x * -0.08888888888888889))))))) end
function tmp = code(x) tmp = x / (1.0 + (x * (x * (-0.3333333333333333 + (x * (x * -0.08888888888888889)))))); end
code[x_] := N[(x / N[(1.0 + N[(x * N[(x * N[(-0.3333333333333333 + N[(x * N[(x * -0.08888888888888889), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{x}{1 + x \cdot \left(x \cdot \left(-0.3333333333333333 + x \cdot \left(x \cdot -0.08888888888888889\right)\right)\right)}
\end{array}
Initial program 8.7%
Taylor expanded in x around 0
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
unpow2N/A
associate-*r*N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f6499.7%
Simplified99.7%
*-commutativeN/A
flip-+N/A
associate-*l/N/A
clear-numN/A
/-lowering-/.f64N/A
Applied egg-rr99.5%
Taylor expanded in x around 0
/-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-*.f6499.3%
Simplified99.3%
clear-numN/A
/-lowering-/.f64N/A
+-lowering-+.f64N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f6499.5%
Applied egg-rr99.5%
(FPCore (x) :precision binary64 (* x (+ 1.0 (* (* x x) (+ 0.3333333333333333 (* (* x x) 0.2))))))
double code(double x) {
return x * (1.0 + ((x * x) * (0.3333333333333333 + ((x * x) * 0.2))));
}
real(8) function code(x)
real(8), intent (in) :: x
code = x * (1.0d0 + ((x * x) * (0.3333333333333333d0 + ((x * x) * 0.2d0))))
end function
public static double code(double x) {
return x * (1.0 + ((x * x) * (0.3333333333333333 + ((x * x) * 0.2))));
}
def code(x): return x * (1.0 + ((x * x) * (0.3333333333333333 + ((x * x) * 0.2))))
function code(x) return Float64(x * Float64(1.0 + Float64(Float64(x * x) * Float64(0.3333333333333333 + Float64(Float64(x * x) * 0.2))))) end
function tmp = code(x) tmp = x * (1.0 + ((x * x) * (0.3333333333333333 + ((x * x) * 0.2)))); end
code[x_] := N[(x * N[(1.0 + N[(N[(x * x), $MachinePrecision] * N[(0.3333333333333333 + N[(N[(x * x), $MachinePrecision] * 0.2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
x \cdot \left(1 + \left(x \cdot x\right) \cdot \left(0.3333333333333333 + \left(x \cdot x\right) \cdot 0.2\right)\right)
\end{array}
Initial program 8.7%
Taylor expanded in x around 0
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6499.4%
Simplified99.4%
(FPCore (x) :precision binary64 (/ x (+ 1.0 (* -0.3333333333333333 (* x x)))))
double code(double x) {
return x / (1.0 + (-0.3333333333333333 * (x * x)));
}
real(8) function code(x)
real(8), intent (in) :: x
code = x / (1.0d0 + ((-0.3333333333333333d0) * (x * x)))
end function
public static double code(double x) {
return x / (1.0 + (-0.3333333333333333 * (x * x)));
}
def code(x): return x / (1.0 + (-0.3333333333333333 * (x * x)))
function code(x) return Float64(x / Float64(1.0 + Float64(-0.3333333333333333 * Float64(x * x)))) end
function tmp = code(x) tmp = x / (1.0 + (-0.3333333333333333 * (x * x))); end
code[x_] := N[(x / N[(1.0 + N[(-0.3333333333333333 * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{x}{1 + -0.3333333333333333 \cdot \left(x \cdot x\right)}
\end{array}
Initial program 8.7%
Taylor expanded in x around 0
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
unpow2N/A
associate-*r*N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f6499.7%
Simplified99.7%
*-commutativeN/A
flip-+N/A
associate-*l/N/A
clear-numN/A
/-lowering-/.f64N/A
Applied egg-rr99.5%
Taylor expanded in x around 0
/-lowering-/.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
unpow2N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f6498.8%
Simplified98.8%
clear-numN/A
/-lowering-/.f64N/A
+-lowering-+.f64N/A
associate-*r*N/A
*-lowering-*.f64N/A
*-lowering-*.f6499.0%
Applied egg-rr99.0%
Final simplification99.0%
(FPCore (x) :precision binary64 (+ x (* 0.3333333333333333 (* x (* x x)))))
double code(double x) {
return x + (0.3333333333333333 * (x * (x * x)));
}
real(8) function code(x)
real(8), intent (in) :: x
code = x + (0.3333333333333333d0 * (x * (x * x)))
end function
public static double code(double x) {
return x + (0.3333333333333333 * (x * (x * x)));
}
def code(x): return x + (0.3333333333333333 * (x * (x * x)))
function code(x) return Float64(x + Float64(0.3333333333333333 * Float64(x * Float64(x * x)))) end
function tmp = code(x) tmp = x + (0.3333333333333333 * (x * (x * x))); end
code[x_] := N[(x + N[(0.3333333333333333 * N[(x * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
x + 0.3333333333333333 \cdot \left(x \cdot \left(x \cdot x\right)\right)
\end{array}
Initial program 8.7%
Taylor expanded in x around 0
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
unpow2N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f6499.0%
Simplified99.0%
+-commutativeN/A
distribute-lft-inN/A
*-rgt-identityN/A
+-lowering-+.f64N/A
associate-*r*N/A
associate-*r*N/A
cube-multN/A
*-lowering-*.f64N/A
cube-multN/A
*-lowering-*.f64N/A
*-lowering-*.f6499.0%
Applied egg-rr99.0%
Final simplification99.0%
(FPCore (x) :precision binary64 (* x (+ 1.0 (* x (* x 0.3333333333333333)))))
double code(double x) {
return x * (1.0 + (x * (x * 0.3333333333333333)));
}
real(8) function code(x)
real(8), intent (in) :: x
code = x * (1.0d0 + (x * (x * 0.3333333333333333d0)))
end function
public static double code(double x) {
return x * (1.0 + (x * (x * 0.3333333333333333)));
}
def code(x): return x * (1.0 + (x * (x * 0.3333333333333333)))
function code(x) return Float64(x * Float64(1.0 + Float64(x * Float64(x * 0.3333333333333333)))) end
function tmp = code(x) tmp = x * (1.0 + (x * (x * 0.3333333333333333))); end
code[x_] := N[(x * N[(1.0 + N[(x * N[(x * 0.3333333333333333), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
x \cdot \left(1 + x \cdot \left(x \cdot 0.3333333333333333\right)\right)
\end{array}
Initial program 8.7%
Taylor expanded in x around 0
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
unpow2N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f6499.0%
Simplified99.0%
(FPCore (x) :precision binary64 x)
double code(double x) {
return x;
}
real(8) function code(x)
real(8), intent (in) :: x
code = x
end function
public static double code(double x) {
return x;
}
def code(x): return x
function code(x) return x end
function tmp = code(x) tmp = x; end
code[x_] := x
\begin{array}{l}
\\
x
\end{array}
Initial program 8.7%
Taylor expanded in x around 0
Simplified98.5%
herbie shell --seed 2024191
(FPCore (x)
:name "Hyperbolic arc-(co)tangent"
:precision binary64
(* (/ 1.0 2.0) (log (/ (+ 1.0 x) (- 1.0 x)))))